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Current vacancies

  • Assistant Manager - Digital Analytics

    India

    Looking for someone having:

    • Experience in Marketing and web analytics.
    • Strong understanding of the digital ecosystem.
    • Able to translate business requirements into advanced technical solutions to continually optimize measure and improve outcomes.

    What skills we expect you to bring:

    • Adobe Analytics/Google Analytics implementation experience.
    • Well versed with Tag management solutions like Adobe Launch, Dynamic Tag Manager (DTM) , Google Tag Manager (GTM) or Tealium.
    • Good JavaScript experience in coding and troubleshooting analytics implementation.
    • Work with developers and product owners to determine appropriate metrics and behavior to track new and existing properties
    • Experience in Personalization tools like Adobe Target or Optimize.
    • Leverage statistical tools to blend data from multiple sources and generate insights.
    • Experience with visualization tools like Tableau, Google Data studio.
    • Develop reports and Dashboards to meet clients’ needs.

     Good to have skills

    • Experience in Google Cloud platform (GCP).
    • Experience in Data management platforms (DMP) like Adobe Audience Manager or Oracle BlueKai.
    • Experience in social listening and analytics tools like NetBase.

     How many years of experience you need?

    Minimum 4 years of relevant experience

    Where will be the job location?

    We are ready to welcome you at Noida and Gurgaon

    Apply
  • Manager - Digital Analytics

    India

    What job we expect you to do:

    • Understand the business context and apply core digital analytics concepts to generate insights & recommendations and provide business solutions.
    • Manage end-to-end digital performance tracking, including the planning, coordination, implementation and maintenance of the required digital marketing and audience analytics tools
    • Report back to the business on key insights around digital marketing attribution, website & app trends and identifying conversion rate improvement opportunities  

    What skills we expect you to bring:

    • Good working knowledge of the  (360, Tag Manager, Big Query) settings and administration, including native integrations with other Google products such as Ads/Campaign Manager
    • Understanding of how to configure profiles and views, including goals, filters and other Google Analytics functionality
    • Understanding of configuration for custom metrics and dimensions/custom variables / advanced e-commerce
    • Solid understanding of implementing event tracking (using Google Tag Manager / Adobe Analytics DTM) and how this can be used effectively
    • Thorough knowledge of analytical use cases such as product recommendation engine, personalized targeting, marketing automation, Path to Purchase, Customer Journey/CLTV, Last-touch & Multi-touch marketing attribution, etc.

    What expertise will bring added advantage?

    • Work experience on Social Media Analyticswould be a great advantage and would help to integrate the actions in digital space effectively
    • Deep domain expertise, understanding of current & future trends and best practices in digital marketing analytics

    What Tools and Technologies we expect you to know?  We understand one cannot be master of all.

    • Google Analytics 360 / Adobe Omniture
    • Google Tag Manager / Adobe Analytics DTM
    • Google Ad/Campaign Manager
    • Google BigQuery and Data Studio
    • SalesForce Marketing Cloud & CRM
    • Visualization tools such as Tableau, Power BI, Einstein Analytics
    • Python, R, SQL and Excel

    How many years of experience you need?

    Minimum 6 years of relevant experience

    Where will be the job location?

    We are ready to welcome you at Noida and Gurgaon

     

    Apply
  • Senior Analyst - Digital Analytics

    India

    Looking for someone having:

    • Experience in Marketing and web analytics.
    • Strong understanding of the digital ecosystem.
    • Able to translate business requirements into advanced technical solutions to continually optimize measure and improve outcomes.

    What skills we expect you to bring:

    • Adobe Analytics/Google Analytics implementation experience.
    • Well versed with Tag management solutions like Adobe Launch, Dynamic Tag Manager (DTM) , Google Tag Manager (GTM) or Tealium.
    • Good JavaScript experience in coding and troubleshooting analytics implementation.
    • Work with developers and product owners to determine appropriate metrics and behavior to track new and existing properties
    • Experience in Personalization tools like Adobe Target or Optimize.
    • Leverage statistical tools to blend data from multiple sources and generate insights.
    • Experience with visualization tools like Tableau, Google Data studio.
    • Develop reports and Dashboards to meet clients’ needs.

     Good to have skills

    • Experience in Google Cloud platform (GCP).
    • Experience in Data management platforms (DMP) like Adobe Audience Manager or Oracle BlueKai.
    • Experience in social listening and analytics tools like NetBase.

    How many years of experience you need?

    Minimum 2 years of relevant experience

    Where will be the job location?

    We are ready to welcome you at Noida and Gurgaon

    Apply
  • Manager – Data Engineer

    India

    What job we expect you to do:

    • Connecting, designing, scheduling, and deploying data warehouse systems
    • Developing data pipelines and enable dash boards for stakeholders and
    • Develop, construct, test and maintain system architectures
    • Create best practices for data loading and extraction
    • Doing quick POCs for any data eccentric development task

    What skills we expect you to bring:

    • Strong programing skills, being well versed in Object-Oriented Programming system (OOPS), data structures, and algorithms
    • Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform
    • Should be comfortable with schema designing
    • Experience in distributed computing environment
    • Experience in structured/unstructured data and batch processing/real-time processing (good to have)
    • Be comfortable with SQL (mandatory), Python(mandatory), Scala (good to have) to manipulate and prepare data and conduct various analysis as needed
    • Reading\writing data to\from various sources – APIs, cloud storage, databases, big data platforms
    • Experience of working with Big Data environment such as Hadoop and the ecosystem
    • Data transformations and applying ML models
    • Creating web services to allow create, read, update and delete (CRUD) operations
    • Competent in project management framework such as Agile
    • Excellent communication skills, both written and verbal

     

    What expertise will bring added advantage?

    • Machine learning
    • Statistical Modelling
    • Natural Language Processing

    What Tools and Technologies we expect you to know?  We understand one cannot be master of all.

    • Python – pandas, django\flask, sklearn, scikit
    • SQL, BigQuery
    • Hadoop ecosystems (HDFS, HIVE, Mapreduce, Pig, Spark, Hadoop etc.)
    • Kafka
    • Apache Spark
    • Linux
    • Airflow

     How many years of experience you need?

    Minimum 5 years of relevant experience

    Where will be the job location?

    We are ready to welcome you at Noida and Gurgaon and also open for any other location in India

    Apply
  • Senior Manager - Data Visualization

    India

    Roles and responsibilities

    Specifically, Senior Manager – Data Visualization should have experience in –

    Solution Designing

    • Understand the business needs of the client and accordingly design the most effective visualisation solution using technologies suitable to the end users (e.g. web, mobile, app and print)
    • Make information easy to understand by designing and producing meaningful and effective data visualisations using relational and aggregate data sources
    • Understand clients data complexity and basic data engineering concepts to extract data for analysis
    • Create interactive visualisations to allow users to ask and answer questions
    • Ability to build story for the solution offered and make charts / tables talk business

     Project and Client Management

    • Manage multiple projects of varying complexities, and ensure the best quality under the given timelines with minimal support
    • Conduct sanity checks based on reasoning and experience to ensure that deliverables are client ready
    • Be a part of deliverable discussions with clients over telephonic calls and engage with them as a thought partner for their BI challenges
    • Manage team of about 4 analyst to work on client requirements
    • Ability to come up with analytical construct from a business problem

    Most Important Requirements:

    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Solution orientation and self-drive

    Ideal Candidate

    • 9-12 years of relevant experience of hands-on experience on various BI tools and technologies
    • Experience in creating complex dashboards – both static, interactive and real time visualisations – that allow drill down ability and help the client take actions based on the insights provided
    • Expert-level knowledge of data visualization and data mining using off-the-shelf BI tools –Tableau, Spotfire and Power BI
    • Understand the concept of data engineering and BI solutions
    • Excel, SQL, Access and other databases to manipulate and create back-end data
    • Experience in handling client calls and client management independently
    • Experience of managing projects independently, along with handling project teams
    • Exposure to data mining and predictive analytics will be an added advantage
    • Automation and reporting/dashboard concepts

    Other Skills

    • Excellent communication skills (both written and oral)
    • Knowledge of other visualization tools like Tableau, Spotfire, D3, Domo, ggplot, Shiny apps is added advantage
    • Development of interactive dashboards or other visualization, HTML5, CSS and D3, JavaScript and JavaScript libraries, including extJS, jQuery, AngularJS, Ggplot and Shiny apps
    • Exposure to cloud-based environment to develop and deploy various dashboards and visualizations
    • Knowledge of big data architecture concepts (HDFS, Map reduce, etc.)

    Education

    • Engineers/MBAs
    Apply
  • Senior Manager - Data Science

    India

    Roles and responsibilities

    • The Data Scientist is expected to have deep knowledge and skills in Machine Learning / Statistical Modelling / Big Data domain, and be responsible for the solution designing and project management for multiple projects/accounts
    • Design the solution for advanced analytics (including Big Data) projects – what technique to use, what tool/technology to use, etc
    • Scope out the solution in terms of time, effort, team skills needed independently
    • Own the delivery for projects including developing scalable ML models and algorithms and interpreting the output
    • Discuss various opportunities with existing and potential clients at a technical level
    • Lead the effort on developing new capabilities/offerings/solutions across the firm

    Ideal Candidate

    • Relevant experience of 10+ years in advanced machine learning, advanced analytical modelling and optimization across multiple industries
    • Expert level working knowledge of Python full stack (back-end, analysis layer, implementation)
    • Proficient in the analysis of both structured, unstructured data (text, image, video), and streaming (sensor) data;
    • Working knowledge of deep learning; experience of having executed very large neural network based solutions
    • Atleast 5+ years of Big Data experience including managing a Spark/HDFS based project
    • Business domain and solutions knowledge of multiple industries, especially Retail, CPG, Telecom, etc.
    • Good knowledge of various data visualization tools, especially open source such as D3, Gephi
    • Excellent communication and client engagement skills
    • Team management experience is a plus
    • Master’s Degree in Computer Science / Mathematical Computing / Statistics / Operations Research
    • At least 8  years’ experience in Machine learning, Python, Big Data

     

    Apply
  • Senior Manager - Data Analytics

    India

    Roles and responsibilities

    Specifically, Senior Managers should –

    • Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
    • Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready
    • Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.
    • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output
    • Interpret the output in context of the client’s business and industry to identify trends and actionable insights
    • Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective
    • Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis
    • Discuss queries/certain sections of deliverable report over client calls or video conferences

    Client Management

    • Act as client lead and maintain client relationship; make independent key decisions related to client management
    • Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward

    Most Important Requirements:

    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Solution orientation and self-drive

    Ideal Candidate

    • 8-10 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered
    • Experience in managing, cleaning and analyzing large datasets using tools like Python, R or SAS
    • Experience in using multiple advanced analytics techniques or machine learning algorithms
    • Experience in handling client calls and working independently with clients
    • Understanding of consumer businesses such as Retail, CPG or Telecom
    • Knowledge of working across multiple data types and files like flat files, RDBMS files; multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud
    • Knowledge of advanced statistical techniques like Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X), ML, etc.

     Other Skills

    • Excellent communication skills (both written and oral)
    • Ability to create client ready deliverables in Excel and PowerPoint
    • Optimization techniques (linear, non-linear), and knowledge of supply chain
    • VBA, Excel Macro programming, Tableau, Qlikview

    Education 

    • Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities
    • MBA from top tier B-schools
    Apply
  • Senior Associate - Credit Research

    Noida

    Roles and responsibilities

    • Candidate will be working as Fixed Income Research analyst for the securities across the spectrum including Investment Grade, High-Yield, Municipal and distress debt. Should have strong written and verbal communications.
    • Preparing comprehensive financial models with forecasting based on in-depth study of operating statistics
    • Detailed debt structure, maturity schedule and liquidity analysis
    • Good understanding of financial covenants
    • Writing credit research notes / profiles on corporates
    • Relative Valuation and Industry research reports
    • Municipal issuers credit review report for general obligation and revenue bonds
    • Working on pilot projects with stringent timelines

    Ideal Candidate

    • Candidate should have relevant experience of at least 2-5 years
    • Candidate should have done MBA (finance) or CFA
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Motivated, fast thinking, dynamic person with strong business acumen
    • Mature individual with a professional work ethic, and high degree of ownership and accountability
    Apply
  • Senior Associate - Equity Research

    Noida

    Roles and responsibilities

    • Candidate will be supporting buy-side/sell-side analysts focused on equity research projects such as building/maintaining financial models, writing investment thesis and conducting valuation (based on DCF, Relative Valuation, SoTP, etc.)
    • Preparing comprehensive financial models with forecasting and valuation based on understanding of company KPIs and industry drivers
    • Performing data-intensive tasks such as maintaining sector-specific databases, and preparing custom dashboards and database-driven screeners
    • Contributing to various kinds of equity reports including earnings notes, initiating coverage notes, sector notes, thematic notes
    • Supporting the client on ad-hoc research tasks relating to companies, sectors or theme s
    • Supporting the client in various product and process development projects
    • Relating latest developments in the capital market and sector to valuation of the coverage stocks
    • Communicating with the client team independently for daily tasks and ad-hoc requests
    • Contributing to or working on challenging pilot projects

    Ideal Candidate

    • Candidate should have relevant experience of at least 1-4 years in financial and/or investment research in a KPO or advisory Firm
    • The person should have completed MBA (Finance) or CFA or CA
    • Strong grasp of financial concepts and accounting and their application in financial analysis and valuation
    • Should possess experience in financial modelling, forecasting, valuation and writing investment research
    • Must possess expertise in using financial research databases (Bloomberg, Capital IQ, Thomson ONE)
    • Expert understanding of MS-Office tools particularly advanced Excel
    • Strong business acumen and problem solving skills
    • Excellent communication (both written and oral) and presentation skills
    • Aware of latest macroeconomic trends and their impact on global capital markets
    • Able to quickly develop understanding on new sectors and identify key drivers or risk factors
    • Desire to work in a fast paced, challenging environment
    • Mature individual with a professional work ethic, and high degree of ownership and accountability

     

    Apply
  • Onsite Project Lead - Advanced Analytics

    United States

    What job we expect you to do:

     Project Delivery

    • Execute analytics requests in individual capacity (hands-on) as well as work very closely with the offshore team on projects, end-to-end
    • Design, develop, and implement analytical solutions and use cases based on business requirements that support key business decisions
    • Design and build technical processes to address business issues
    • Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics
    • Accountable for quality of delivery from TSC (including from offshore team)

    Planning & Coordination

    • Track and monitor the status of all ongoing requests, keep offshore resources effectively utilized and ensure smooth management of  work pipeline
    • Articulate project requirements and client’s internal business context (e.g. business priorities, end-use, etc.) to TSC offshore team to help provide more customized insights
    • SPoC for the offshore team for all project related queries; seek and provide timely inputs/clarifications (e.g. business requirements, request prioritization, scope finalization, output format) to the offshore team
    • Assist the offshore team in getting issues( e.g. data access, platform/tool access, IT/helpdesk related, etc.) resolved

    Client Management 

    • Coordinate and drive meetings with client’s internal team(s), identify their business needs and translate them into analytics projects
    • Examine, interpret and report results of analytical initiatives to stakeholders in leadership and business teams.
    • Set and manage stakeholders expectations around scope of study/requests, level of detail/granularity, delivery timelines, etc.
    • Act as onsite TSC support for client – essentially, play the role of a ‘quick analyst desk’ for client stakeholders in case of urgent requirement and help in coordination, scheduling calls, etc.
    • Share and incorporate client feedback

    Account Development

    • Establish strong rapport with key client stakeholders and identify growth opportunities for TSC
    • Share inputs/ideas (based on client discussions) with the sales team that provides an opportunity to pitch/propose new work or solution that is outside of current scope of work

     

    What skills we expect you to bring:

    • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
    • Experience and knowledge of statistical modeling techniques: GLM multiple regression, Logistic Regression, Clustering/Segmentation, Time-Series Forecasting as well as machine learning algorithms such as Random Forest, SVM, Neural Network, etc.
    • Knowledge of analytical use cases such as product recommendation engine, personalized targeting, marketing automation, Path to Purchase, Customer Journey/CLTV, Last-touch & Multi-touch marketing attribution, RFM analysis, Customer 360, etc.
    • Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready
    • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to team members to ensure an error free output
    • Interpret the output in context of the client’s business and industry to identify trends and actionable insights
    • Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Data Studio, Looker, etc.) and highlight the key takeaways from a business perspective
    • Strong SQL skills, ability to perform effective querying involving multiple tables and sub-queries
    • Excellent communication, collaboration and delegation skills

    What expertise will bring added advantage?

    • Deep domain expertise, understanding of current & future trends and best practices in customer and marketing analytics

    What Tools and Technologies we expect you to know?  We understand one cannot be master of all.

    • Python, SQL, Excel, and MS PowerPoint
    • Google BigQuery/GCP
    • Visualization tools such as Tableau, Google Data Studio, Einstein Analytics, Looker
    • Sales Force Marketing Cloud & CRM

    How many years of experience you need?

    Minimum 9+ years of relevant experience

    Where will be the job location?

    Client location – Miami, Florida, US

    Apply
  • Consultant – Advanced Analytics

    United Kingdom

    Roles and responsibilities

    Client Management

    • Work as a thought partner with the client, maintain and grow the client relationship; make independent key decisions related to client management
    • Be able to manage multiple stakeholders involved in the project, by understanding their business problem, discussing the project scope, getting clarity on the business context/data/process etc., and reviewing deliverable
    • Attend various client meetings and be able to independently assess how TSC can support the project better through analytics
    • Manage client expectations in terms of delivery scope, timelines – help ensure that there is no scope creep and if there is, the timelines expectations are managed
    • Work with the client to answer questions of the offshore team and guide the project team on the next steps and way forward
    • Keep the client updated on project progress and flag any issues, roadblocks. Work pro-actively with different POC to remove the road blocks

    Project Management

    • Independently manage project(s) of varying complexities, ensuring top notch quality and timeline adherence through the delivery team in India
    • Help the project teams identify, extract, organize, manage, and analyze client data. Carry out logical, accuracy and consistency checks on data, if needed
    • Work closely with the client, delivery team to identify the right analytical solution / approach / methodology to answer various client questions
    • Review the deliverables from a business perspective and help the team identify trends and key insights
    • Conduct sanity checks of analysis findings based on reasoning and past experience, and ensure that deliverables are client ready
    • Be able to take the analytical solution and design an implementation plan – move the code to the client server that interacts with client data
    • People Management
    • Help and guide team members on how to use and implement basic and advanced statistical techniques like linear/non-linear Regression, Decision Trees, Segmentation, Test Vs Control selection etc.

    Technical skills

    • Expertise in R and/or Python (Basic and Advanced)
    • In-depth hands-on knowledge in using Excel/PPT and one of the data visualization tool such as Tableau
    • Expertize in various analytical techniques such as regression (log-linear, log-log, mixed effect, pooled etc.), time series analysis, EDA etc. Other Skills
    • Superior problem solving abilities and strong analytical thinking
    • A positive, enthusiastic, self -driven person with excellent communication skills
    • Mature seasoned individual comfortable in working with senior (VP, CXO) level clients

    Ideal Candidate

    • 4 + years of relevant experience in Advanced Analytics across a variety of projects starting from EDA, segmentation, forecasting, predictive modeling, optimization
    • Experience in managing, cleaning and analysis of large datasets using tools such as R and Python
    • Experience of working onsite directly with senior level clients in the US or UK
    • Atleast 1-2 years of sound experience of developing analytical solutions for retail/CPG clients
    • Well rounded understanding of the retail industry as it relates to marketing, store ops, merchandizing and supply chain functions
    • Knowledge of working across multiple data types and comfort of handling large volumes of data through Teradata/Oracle etc.
    • Knowledge of advanced statistical techniques like Mixed Models, CART/CHAID, Forecasting techniques etc.
    • Excellent communication skills (both written and oral)
    • Project management (> 2 years) and client management (> 1 year)

    Education

    • Science majors (Engineering, Statistics, Operations Research etc.) from top tier institutes
    Apply
  • Senior Analyst - Patent

    Noida

    Roles & responsibilities:

    • Be a part of the team working on various research projects aiding decision making for Fortune 500 / FTSE 100 corporate, Blue Chip Consulting Firms and Global Financial Services companies
    • Understand research objectives, identify areas where patent research can be utilized, design search strategies, interpret and analyze patents for accuracy, exhaustiveness and applicability
    • Extract patents and analyze them to unearth valuable technology related information
    • Provide research and analysis on various technology domains
    • Identify trends and latest innovations using patents and marry them with the identified business trends to generate actionable insights
    • Identify the needs of the buyers in a market by understanding the innovation pattern using patents
    • Identify, benchmark and profile suppliers and partners relevant for the client based on patents
    • Conduct competitive intelligence tasks by identifying competitors, analyzing competitor patents and benchmarking them with client’s patents
    • Identify whitespaces and roadblocks in a technology domain by understanding the patent landscape
    • Identify manufacturing processes of products and their ingredients using patents
    Apply
  • Senior Analyst - RFX

    Noida

    Roles and Responsibilities

    • Ability to understand business dynamics of an industry, factors affecting a company both externally and internally and how they influence business decisions
    • Understand client objectives, interpret and analyze information for accuracy, exhaustiveness and applicability
    • Ability to identify relevant suppliers for the client – as per the details shared by the client. This could be across sectors.
    • Learn how to use various databases and conduct advanced secondary research and judiciously use the relevant information to answer queries
    • Conduct primary research by contacting industry experts to obtain insights into a company, Industry or a business function
    • Running multiple RFx (RFI, RFP, RFQ etc.) activities (both online and offline) on one or more than one projects
    • Preparing detailed RFx templates for analysis
    • Following-up with suppliers and keeping the client in loop on the developments
    • Conducting detailed analysis of the responses received from various suppliers, highlighting key takeaways from the analysis, which will allow the client to identify the suitable supplier and make tangible business decisions (achieve savings target)
    • Read through vast amount of information collected and build a storyline to address the client’s objective
    • Ability to scrutinize and simplify complex information into easy to understand lingo, which can aid in addressing key objectives of the study
    • Detailed understanding and working knowledge of ARIBA, Scout, and SCANMARKET
    • Manage projects independently end-to end, with not more than 10% intervention from the Project Manager
    • Ability to train analysts on supplier identification and RFx work
    • Conduct knowledge sharing sessions within the team
    • Ability to independently take client calls and suggest solutions to the clients and other stakeholders over calls and emails
    • Manage 1-2 FTEs

    Ideal Candidate

    • Work Experience of minimum 2-3 years in running RFx events and supplier identification exercises
    • Team management (1-2 FTEs) experience of 1-2 years
    • Independent client management experience of 1-2 years
    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Ability to work efficiently and handle pressure while working on quick turnaround request
    • Excellent communication skills, both written and verbal
    • Motivated, fast thinking, dynamic person with strong business acumen
    • Mature individual with a professional work ethic, and high degree of ownership and accountability
    • Independent decision making skills with humility to consult seniors when in doubt
    • Graduate from reputed college with B.Com, B.sc or B.E degree (MBA preferred)
    • Strong secondary and primary research skills
    • Good data interpretation skills and able to bucket information logically
    • Ability to multitask and switch between tasks based on client request
    • Preferable: Advanced Excel knowledge; related industry experience; knowledge of any foreign language (Spanish, German etc)
    Apply
  • Assistant Manager - Lifesciences

    Noida

    Roles and responsibilities

    Project Management

    • Independently manage and collaboratively execute customized business research projects focused on procurement and business strategies, for numerous clients including large–midsized life sciences corporations and professional service firms
    • Lead one or more project teams, guiding team(s) on all aspects including scoping, timelines, content structuring, research methodologies, and client communication
    • Deliver high-quality, client-ready outputs consistently
    • Conduct continuous quality management of the outputs to ensure consistency and timeline adherence
    • Be pragmatic in deciding required involvement and contribution in projects to ascertain efficient project execution and meet client commitments
    • Serve as a mentor to the project team members imparting experiential- and knowledge-based guidance, and providing constructive feedback (verbal and written); counsel analysts on technical and business skills to elevate their performance

    Client Engagement

    • Interact with key client stakeholders to understand project requests and business needs, and communicate project progress/challenges
    • Serve as the primary POC for project-related communication to discuss/decide project timelines/scope and collect feedback
    • Undertake teleconference-based project kick-off calls and review meetings
    • Identify risks /issues and escalate to the reporting manager (RM) and/or Client Lead (CL)
    • Identify up-selling/cross-selling opportunities in conjunction with the CL/RM
    • Participate in business proposals and new client pitch-decks to attract new business prospects and enhance business growth

    Team and Career Management

    • Display exceptional project/team management skills maintaining high levels of motivation and work ethic among team members
    • Handle difficult situations such as dissatisfaction/disagreement among team members and escalate to RM, when essential
    • Function as the performance appraiser of 2–5 junior team members and be responsible for their overall career management

    Training and Organisational Initiatives

    • Contribute to different organisational tasks such as hiring, training, and other organisational initiatives

    Ideal Candidate

    • Market research and/or consulting experience of 4–7 years; experience in procurement and commercial research/strategies is preferred
    • Good understanding and knowledge of the Life Sciences industry and dynamics; educational qualification in life sciences will be preferred, but not essential
    • Through knowledge of various secondary and primary research methodologies (including databases such as Nexis, Thomson, Factiva and Bloomberg)
    • Through knowledge of various secondary and primary research methodologies (including databases such as Thomson, Factiva, and LexisNexis)
    • Understanding of industry dynamics such as KPIs and frameworks such as SWOT analysis, Porter’s Five Forces, and GE-McKinsey Matrix
    • Potential of handling a large team of 10-15 employees as a single point of contact for their daily operational needs as well as overall needs related to career aspiration, performance, expectations, team building etc.
    • Team player
    • Motivated, fast thinking, dynamic person with strong business acumen
    • Motivated and dynamic person with strong business acumen
    • Work in demanding and high-pressure situations without compromising on work quality and timelines
    • Result oriented, self-driven, and solution seeker
    • Excellent communication skills, both written and verbal
    • Ability to do multitasking with ease
    • Ability to take tough/difficult decisions with reason and logic
    • Patient, calm, and composed demeanour
    • Quick grasp and ability to think on the feet
    • Quick learner with the ability to think outside the box
    • Strong people management skills
    • High value system, and fair and judicious in decision-making
    • Perseverant and ‘can do’ attitude
    • Proactive in reaching out to others beyond his immediate area of responsibility to help/assist
    • Proactive collaborator
    • Able to lead by example
    • Subject-matter-expert who can indulge in unprompted knowledge-sharing
    • Efficient in handling difficult client and people situations
    Apply
  • Manager - CPG

    Noida

    Roles and responsibilities

    • Execute business research projects in the area of strategy, procurement and/or marketing for various clients
    • Understand research objectives based on client type and accordingly develop a work approach; interpret and analyze information for accuracy, exhaustiveness and applicability
    • Work as a lead analyst and contribute to the entire project lifecycle across assignments through exhaustive research, data interpretation, insight generation/analysis, and report preparation
    • Synthesize analytical and actionable insights – through qualitative and quantitative methods – which provide solutions to the client’s business problem, and present this information in a structured manner
    • Deliver high-quality, client-ready output consistently and on time; ensure there are no gaps in quality pertaining to research and analysis in the work under purview while working as lead analyst
      As project lead:
    • Independently lead and guide team(s) on all aspects of execution, encompassing effort estimation, timelines, content, and client engagement (including emails and conference calls)
    • Manage projects/modules of projects with a team of research analysts by planning their work, performing quality checks on their output and giving them regular feedback on technical as well as business skills
    • Keep analyst team motivated, handle difficult situations, e.g., disagreement among team members
      Coach and mentor analysts on best practices of research delivery

    Ideal Candidate

    • Excellent business research skills, as evidenced by extensive experience in utilizing such skills in a research environment
    • Critical thinking skills and analytical bend of mind, to seek the why, how and so-what of a problem statement
    • Superior problem solving abilities, strong business acumen and ability to handle multiple tasks
    • Ability to translate client objectives/business requirements into clear deliverables
    • Proficient at identifying relevant tools and techniques to meet client objectives
    • Exceptional communication skills (both written and oral
    • Project management – excellent project management skills including project planning, task prioritization and allocation, work delivery and quality management
    • People management – ability to handle peoples’ aspirations, career goals and help them grow
    • Client management – strong client service orientation; can establish positive client relationship
    • Degree in numerate discipline
    • MBA: Desirable
    • 7 to 10 years of experience in the research and consulting (KPO) industry
    • Experience in gathering relevant information from a host of business research sources (reports, news, articles, databases, paid interviews, etc.) and synthesizing that in research environment
    • Experience in handling multiple projects and 5-6 memberteam, and managing resources efficiently
    • Experience in playing a client-facing role (over phone and email) – manage client expectations, understand their requirements, and execute the tasks with the team
    • Experience in consumer products goods space : Desirable
    • Knowledge and understanding of the dynamics of various industries and other concepts such as competitive intelligence, best practices,
    • sourcing strategy, and key performance indicators
    • Knowledge of one’s educational background with clear understanding of fundamentals and concepts : Expertise in using MS
    • PowerPoint, MS Excel and MS Word creatively manner to deliver the desired output
    • Hands-on experience/knowledge of various databases such as LexisNexis, Thomson ONE, Bloomberg, and Capital IQ
    • Knowledge of conducting open-ended primary research to garner industry-specific insights
    Apply
  • Assistant Manager - CPG

    Noida

    Roles and responsibilities

    • Execute business research projects in the area of strategy, procurement and/or marketing for various clients
    • Understand research objectives based on client type and accordingly develop a work approach; interpret and analyze information for accuracy, exhaustiveness and applicability
    • Work as a lead analyst and contribute to the entire project lifecycle across assignments through exhaustive research, data interpretation, insight generation/analysis, and report preparation
    • Synthesize analytical and actionable insights – through qualitative and quantitative methods –  which provide solutions to the client’s business problem, and present this information in a structured manner
    • Deliver high-quality, client-ready output consistently and on time; ensure there are no gaps in quality pertaining to research and analysis in the work under purview while working as lead analyst
      As project lead:
    • Independently lead and guide team(s) on all aspects of execution, encompassing effort estimation, timelines, content, and client engagement (including emails and conference calls) 
    • Manage projects/modules of projects with a team of research analysts by planning their work, performing quality checks on their output and giving them regular feedback on technical as well as business skills
    • Keep analyst team motivated, handle difficult situations, e.g., disagreement among team members
      Coach and mentor analysts on best practices of research delivery

    Ideal Candidate

    • Excellent business research skills, as evidenced by extensive experience in utilizing such skills in a research environment
    • Critical thinking skills and analytical bend of mind, to seek the why, how and so-what of a problem statement
    • Superior problem solving abilities, strong business acumen and ability to handle multiple tasks
    • Ability to translate client objectives/business requirements into clear deliverables
    • Proficient at identifying relevant tools and techniques to meet client objectives
    • Exceptional communication skills (both written and oral
    • Project management – excellent project management skills including project planning, task prioritization and allocation, work delivery and quality management
    • People management – ability to handle peoples’ aspirations, career goals and help them grow
    • Client management – strong client service orientation; can establish positive client relationship
    • Degree in numerate discipline
    • MBA: Desirable
    • 4 to 8 years of experience in the research and consulting (KPO) industry
    • Experience in gathering relevant information from a host of business research sources (reports, news, articles, databases, paid interviews, etc.) and synthesizing that in research environment
    • Experience in handling multiple projects and 5-6 member team, and managing resources efficiently:
    • Experience in playing a client-facing role (over phone and email) – manage client expectations, understand their requirements, and execute the tasks with the team
    • Experience in consumer products goods space : Desirable
    • Knowledge and understanding of the dynamics of various industries and other concepts such as competitive intelligence, best practices, sourcing strategy, and key performance indicators
    • Knowledge of one’s educational background with clear understanding of fundamentals and concepts: Expertise in using MS
    • PowerPoint, MS Excel and MS Word creatively manner to deliver the desired output
    • Hands-on experience/knowledge of various databases such as LexisNexis, Thomson ONE, Bloomberg, and Capital IQ
    • Knowledge of conducting open-ended primary research to garner industry-specific insights
    Apply
  • Inside Sales - Procurement & CSM

    Noida

    Roles and responsibilities

    The Inside Sales Specialist will be a key member of the Sales Development team at TSC. Candidate would assist in building the sales pipeline and contributing to the sales effort. The job involves identifying, organizing and qualifying leads that will later become prospects and
    eventually customers. The understanding of research and/or analytics services is vital. This is a challenging and interesting role and will require the candidate to be alert to the business realities in global markets and carry out the functions accordingly.

    • Understand the market dynamics, including client requirement, business models, key players, competition and our value proposition across segments.
    • Identify new customers/ opportunities within a given sales territory.
    • Study buying behaviour/ patterns of target companies
    • Leverage TSC’s standard solutions, packaged offerings, collateral and credentials to open conversations with targeted companies and send customized emails and compose relevant messages
    • Conduct effective cold call campaigns. Speak to C level executives and decision makers and be comfortable handling this.
    • Will be the first point of contact with clients – engage meaningfully, provide necessary information on our solution and help convert the lead into a prospect.
    • Will need to prepare and maintain a database of suspects. This will include research from the net, storing this information on spread-sheets etc. and timely updation into the Salesforce CRM.
    • “Adhere to GDPR as well as other prevailing company policies and procedures while delivering the duties”.
    • Must- have prior experience selling to the Procurement /or CSM vertical.

    Ideal Candidate

    • 2-4 years of total experience, with a minimum of 2 years of inside sales with an analytics and/or Research services for North American, APAC or European markets.
    • Excellent sales skills with very strong verbal and written communication ability.
    • Excellent skills with LinkedIn, Sales Navigator, Salesforce or similar prospecting tools
    • Familiarity with cold calling campaigns and follow up techniques.
    • Perseverant, with the ability to establish ‘contact’ quickly
    Apply
  • Senior Analyst - Research - CPG

    Noida

    Roles and responsibilities

    • Execute business research projects in the area of strategy, procurement and/or marketing for various clients – including large corporations operating in the industrials space globally
    • Contribute to the entire project lifecycle through exhaustive research, data interpretation, insight generation/analysis and report preparation
    • Understand research objectives based on client requirements and accordingly build a work approach; interpret and analyse information for accuracy, exhaustiveness and applicability
    • Conduct exhaustive secondary research on a variety of topics across sources such as company websites, industry reports, market studies, general news articles as well as databases, and other relevant sources
    • Synthesise analytical and actionable insights – through qualitative and quantitative methods – which provide solutions to client’s business problem, and present this information in a structured manner
    • Deliver high-quality, client-ready output with minimal supervision; identify risks/issues and escalate those to project leads in a timely manner

    Ideal Candidate

    • 1 to 3.5 years of experience in business research ; extensive experience in utilizing those skills in research environment
    • Experience of direct interaction with clients, both through emails and conference calls
    • Experience of working in teams
    • Creative outlook and ability to think of multiple approaches to address a problem
    • Analytical bend of mind, to seek the why, how and so-what of a problem statement
    • Motivated, quick thinker, dynamic person with strong business acumen
    • Demonstrate perseverance and ‘can do’ attitude
    • Go getter with quick grasping ability
    • Proactive and ready to take initiative
    • Strong team player with a zeal to learn
    • Any specialisation/background in the Industrials sub-sectors , MBA : Desirable
    • Experience of supervising/managing the work of a relatively junior analyst
    • Experience in manufacturing/industrials space (added advantage)
    • Superior analytical skills to analyse and interpret both qualitative and quantitative information
    • Excellent communication skills (both written and oral)
    • Ability to maintain quality levels across studies and manage projects with minimum direction
    • Ability to write reports (headlines, summary and recommendations) with no grammatical or data interpretation errors
    • Ability to conduct open ended primary research to garner industry specific insights
    • Knowledge of analytical frameworks like Porter’s 5 forces, BCG matrix, and understanding of business dynamics of various industries and basic economics
    • Proficiency in Power Point, Excel and Word to deliver the desired output in a creative and aesthetically appealing format
    • Knowledge of one’s educational background with clear understanding of fundamentals and concepts
    • Knowledge of various databases such as Lexis, Thomson, Factiva and ProFound
    Apply
  • Assistant Manager - Presales

    India

    Overview

    The pre-sales lead will be a key member of the Sales Development team at TSC. He/She would be a
    part of the team that:

    • Right scopes adhoc research/analytics/technology-based proposal requests from new clients
    • Prepares solution and accompanying collateral as The Smart Cube’s response to all RFIs, RFPs and RFQs pertaining to research and/or analytics work
    • Supports bids by sharing the right pitch material before client meetings

    This is a challenging and interesting role and will require the candidate to be alert to business realities
    in global markets while being equally well-versed with the firm’s capabilities across research and
    analytics-based work. The candidate can look forward to a very healthy growth path as the company
    is one of the fastest emerging in this space and this function, an important backbone.

    Roles and responsibilities

    • Understand market dynamics, including client requirements, business models, key players, competition and our value proposition across segments
    • Understand business problems across our industries and functions
    • Manage solution design independently with a sound proposal that addresses the client’s problems
    • Convey the solution design through a compelling visual narrative and take complete ownership of the proposal
    • Independent in all aspects related to decision-making, including asking the right questions to clients/sales folks to build the optimal solution
    • Proactively communicates with internal and external stakeholders (including independently liaising with all internal stakeholders and SMEs)
    • Ensure that the business development support material is kept current and that it conveys our value proposition and strong capabilities in the best possible manner
    • Can work on short turnaround proposals and ensures all internal and external client timelines are met
    • Follows all organisational policies and values in spirit

    Ideal Candidate

    • 3-5 years of total experience, with a minimum of 2 years of working on proposals and RFPs for North American, APAC and/or European markets
    • Strong understanding of business in general and in-depth understanding of business functions such as procurement and supply chain, strategy, marketing, and pricing and promotions
    • Exceptional written and verbal communication skills, and the comfort and confidence of dealing with VP+ level executives in the US and Europe (internal and external stakeholders)
    • Ability to don the ‘solution hat’ and look at the big picture
    • Strong ability to convey the solution through a compelling story
    • Perseverant and collaborative, able to prioritize and multi-task, and dynamic/energetic
    • Should be good at organizing information
    Apply
  • Manager - Lifesciences

    India

    Roles and responsibilities

    Project Management

    • Independently manage and collaboratively execute customized business research projects focused on procurement and business strategies, for numerous clients including large–midsized life sciences corporations and professional service firms
      • Lead one or more project teams, guiding team(s) on all aspects including scoping, timelines, content structuring, research methodologies, and client communication
      •  Deliver high-quality, client-ready outputs consistently
    • Conduct continuous quality management of the outputs to ensure consistency and timeline adherence
    • Be pragmatic in deciding required involvement and contribution in projects to ascertain efficient project execution and meet client commitments
    • Serve as a mentor to the project team members imparting experiential- and knowledge-based guidance, and providing constructive feedback (verbal and written); counsel analysts on technical and business skills to elevate their performance

    Client Engagement

    • Interact with key client stakeholders to understand project requests and business needs, and communicate project progress/challenges
      • Serve as the primary POC for project-related communication to discuss/decide project timelines/scope and collect feedback
      • Undertake teleconference-based project kick-off calls and review meetings
      • Identify risks /issues and escalate to the reporting manager (RM) and/or Client Lead (CL)
      • Identify up-selling/cross-selling opportunities in conjunction with the CL/RM
    • Participate in business proposals and new client pitch-decks to attract new business prospects and enhance business growth

    Team and Career Management

    • Display exceptional project/team management skills maintaining high levels of motivation and work ethic among team members
      • Handle difficult situations such as dissatisfaction/disagreement among team members
        and escalate to RM, when essential
    • Function as the performance appraiser of 2–5 junior team members and be responsible for their overall career management

    Training and Organisational Initiatives

    • Contribute to different organisational tasks such as hiring, training, and other organisational initiatives

    Ideal Candidate

    • Market research and/or consulting experience of 7–10 years; experience in procurement and commercial research/strategies is preferred
    • Good understanding and knowledge of the Life Sciences industry and dynamics; educational qualification in life sciences will be preferred, but not essential
    • Through knowledge of various secondary and primary research methodologies (including databases such as Nexis, Thomson, Factiva and Bloomberg)
    • Through knowledge of various secondary and primary research methodologies (including databases such as Thomson, Factiva, and LexisNexis)
    • Understanding of industry dynamics such as KPIs and frameworks such as SWOT analysis, Porter’s Five Forces, and GE-McKinsey Matrix
    • Potential of handling a large team of 10-15 employees as a single point of contact for their daily operational needs as well as overall needs related to career aspiration, performance, expectations, team building etc.
    • Team player
    • Motivated, fast thinking, dynamic person with strong business acumen
    • Motivated and dynamic person with strong business acumen
    • Work in demanding and high-pressure situations without compromising on work quality and timelines
    • Result oriented, self-driven, and solution seeker
    • Excellent communication skills, both written and verbal
    • Ability to do multitasking with ease
    • Ability to take tough/difficult decisions with reason and logic
    • Patient, calm, and composed demeanour
    • Quick grasp and ability to think on the feet
    • Quick learner with the ability to think outside the box
    • Strong people management skills
    • High value system, and fair and judicious in decision-making
    • Perseverant and ‘can do’ attitude
    • Proactive in reaching out to others beyond his immediate area of responsibility to help/assist
    • Proactive collaborator
    • Able to lead by example
    • Subject-matter-expert who can indulge in unprompted knowledge-sharing
    • Efficient in handling difficult client and people situations
    Apply
  • Senior Analyst - Market Mix Modeling ( joining within 15 days to max 30 days time)

    India

    Roles and responsibilities

    • Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies
    • Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
    • Collect/Organize/Prepare/Manage data for the analysis and conduct quality checks
    • Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.
    • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output
    • Aid in decision making related to client management, and also be able to take client calls relatively independently
    • Support the project leads in managing small teams of 2-3 analysts, independently set targets and communicate to team members
    • Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective
    • Discuss queries/certain sections of deliverable report over client calls or video conferences

     

    Most Important Requirements:

    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Solution orientation and self-drive

     

    Ideal Candidate

    • 2-4 years of relevant experience in Marketing Analytics / MR.
    • Experience in managing, cleaning and analysis of large datasets using statistical packages like SAS, R, Python, etc.
    • Experience in data management using SQL queries on tools like Access/ SQL Server
    • Experience of handling small teams of 2-3 analysts
    • Experience in handling client calls and client management

     

    Other Skills

    • Excellent communication skills (both written and oral)
    • Project management
    • MS Excel, SAS, SPSS, R and Python
    • SQL Server, MS Access, Oracle, VB/VBA, Excel Macro Programming

     

    Education

    • Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities
    • MBA from top tier B-schools
    Apply
  • Assistant Manager - Market Mix Modeling ( joining within 15 days to max 30 days time)

    India

    Roles and responsibilities

    Specifically, Assistant Managers should –

    • Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
    • Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready
    • Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.
    • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output
    • Interpret the output in context of the client’s business and industry to identify trends and actionable insights
    • Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective
    • Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis
    • Discuss queries/certain sections of deliverable report over client calls or video conferences

     

    Client Management

    • Act as client lead and maintain client relationship; make independent key decisions related to client management
    • Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward

     

    Most Important Requirements:

    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Solution orientation and self-drive

     

     

    Ideal Candidate

    • 4-6 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered
    • Experience in managing, cleaning and analyzing large datasets using tools like Python, R or SAS
    • Experience in using multiple advanced analytics techniques or machine learning algorithms
    • Experience in handling client calls and working independently with clients
    • Understanding of consumer businesses such as Retail, CPG or Telecom
    • Knowledge of working across multiple data types and files like flat files, RDBMS files; multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud
    • Knowledge of advanced statistical techniques like Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X), ML, etc.

     

    Other Skills

    • Excellent communication skills (both written and oral)
    • Ability to create client ready deliverables in Excel and PowerPoint
    • Optimization techniques (linear, non-linear), and knowledge of supply chain
    • VBA, Excel Macro programming, Tableau, Qlikview
    Apply
  • Bid and Business Proposal Manager

    India

    Overview

    The pre-sales lead will be a key member of the Sales Development team at TSC. He/She would be a part of the team that:

    • Right scopes ad-hoc research/analytics/technology-based proposal requests from new clients
    • Prepares solution and accompanying collateral as The Smart Cube’s response to all RFIs, RFPs and RFQs pertaining to research and/or analytics work
    • Supports bids by sharing the right pitch material before client meetings

    This is a challenging and interesting role and will require the candidate to be alert to business realities in global markets while being equally well-versed with the firm’s capabilities across research and analytics-based work. The candidate can look forward to a very healthy growth path as the company is one of the fastest emerging in this space and this function, an important backbone.

    Roles and responsibilities

    • Understand market dynamics, including client requirements, business models, key players, competition and our value proposition across segments
    • Understand business problems across our industries and functions
    • Manage solution design independently with a sound proposal that addresses the client’s problems
    • Convey the solution design through a compelling visual narrative and take complete ownership of the proposal
    • Independent in all aspects related to decision-making, including asking the right questions to clients/sales folks to build the optimal solution
    • Proactively communicates with internal and external stakeholders (including independently liaising with all internal stakeholders and SMEs)
    • Ensure that the business development support material is kept current and that it conveys our value proposition and strong capabilities in the best possible manner
    • Can work on short turnaround proposals and ensures all internal and external client timelines are met
    • Follows all organisational policies and values in spirit

    Ideal Candidate

    • 3-5 years of total experience, with a minimum of 2 years of working on proposals and RFPs for North American, APAC and/or European markets
    • Strong understanding of business in general and in-depth understanding of business functions such as procurement and supply chain, strategy, marketing, and pricing and promotions
    • Exceptional written and verbal communication skills, and the comfort and confidence of dealing with VP+ level executives in the US and Europe (internal and external stakeholders)
    • Ability to don the ‘solution hat’ and look at the big picture
    • Strong ability to convey the solution through a compelling story
    • Perseverant and collaborative, able to prioritize and multi-task, and dynamic/energetic
    • Should be good at organizing information

     

    Apply
  • Senior Manager – Data Engineering

    India
    What job we expect you to do:
    • Be able to gather and understand client objectives in the data engineering space; propose optimal database management/ETL pipeline management solution proposition and help develop overall roadmap
    • Effective collaboration with Sales team to enhance our pre-sales efforts in data engineering space
    • Guide the team working on various data engineering projects
    • Connecting, designing, scheduling, and deploying data warehouse systems
    • Developing data pipelines and enable dash boards for stakeholders
    • Develop, construct, test and maintain system architectures
    • Create best practices for data loading and extraction
    • Leading quick POCs for any data eccentric development task

     

    What skills we expect you to bring:
    • Strong programming skills, being well versed in Object-Oriented Programming system (OOPS), data structures, and algorithms
    • Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform
    • Be comfortable with SQL (mandatory), Python(mandatory), Scala (good to have) to manipulate and prepare data and conduct various analysis as needed
    • Experience on AWS/Azure stack
    • Experience of working on cloud based data warehousing platform like Snowflake would be an added advantage
    • Should be comfortable with schema designing
    • Experience in distributed computing environment
    • Experience in structured/unstructured data and batch processing/real-time processing (good to have)
    • Reading\writing data to\from various sources – APIs, cloud storage, databases, big data platforms
    • Experience of working with Big Data environment such as Hadoop and the ecosystem
    • Creating web services to allow create, read, update and delete (CRUD) operations
    • Competent in project management framework such as Agile
    • Prior experience of working in CPG and/or Retail sector would be an added advantage
    • Good leadership skills
    • Excellent communication skills, both written and verbal
    What Tools and Technologies we expect you to know?  We understand one cannot be master of all.
    • SQL
    • Python – pandas, pySpark
    • Hadoop ecosystems (HDFS, HIVE, MapReduce, Pig, Spark, Hadoop etc.)
    • Apache Spark
    • Snowflake
    • AWS/Azure
    • Kafka
    • Linux
    • Airflow
    How many years of experience do you need?

    At least 8 years of relevant experience

    Where is the job location?

    We are ready to welcome you at Noida and Gurgaon and also open for any other location in India

    Apply
  • Senior Analyst – Data Engineering

    India
    What job we expect you to do:
    • Connecting, designing, scheduling, and deploying data warehouse systems
    • Developing data pipelines and enable dash boards for stakeholders and
    • Develop, construct, test and maintain system architectures
    • Create best practices for data loading and extraction
    • Doing quick POCs for any data eccentric development task

     

    What skills we expect you to bring:
    • Candidate with at least 3 years relevant experience
    • Strong communication skills
    • Tech Stack: AWS, Snowflake, Airflow, Python, Spark, Big Data and ETL Pipelines
    • Ability to work on a solution that brings in first party data from multiple sources (Ecom / website, apps, etc.) along with third party data

    This data once brought together and synthesized would be used by marketing teams for personalising  consumer campaigns.

    • Ability to handle data engineering requirements for GDPR compliance
    • Experience of working on consumer data and knowledge of digital marketing use cases e.g. personalisation through Facebook / Google
    • Should have some CPG business understanding to be able to contribute right ideas 

     

    What expertise will bring added advantage?
    • Machine learning
    • Statistical Modelling
    • Natural Language Processing

     

    How many years of experience do you need?
    • Minimum 3 years of relevant experience

     

    Where is the job location?
    • We are ready to welcome you at Noida and also open for any other location in India.
    Apply
  • Assistant Manager - Data Engineer

    India

    Roles and Responsibilities 

    • Connecting, designing, scheduling, and deploying data warehouse systems
    • Developing data pipelines and enable dash boards for stakeholders and
    • Develop, construct, test and maintain system architectures
    • Create best practices for data loading and extraction
    • Doing quick POCs for any data eccentric development task

     

    Ideal candidate:

    • Minimum 4 years of relevant experience
    • Strong programing skills, being well versed in Object-Oriented Programming system (OOPS), data structures, and algorithms
    • Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform
    • Should be comfortable with schema designing
    • Experience in distributed computing environment
    • Experience in structured/unstructured data and batch processing/real-time processing (good to have)
    • Be comfortable with SQL (mandatory), Python(mandatory), Scala (good to have) to manipulate and prepare data and conduct various analysis as needed
    • Reading\writing data to\from various sources – APIs, cloud storage, databases, big data platforms
    • Experience of working with Big Data environment such as Hadoop and the ecosystem
    • Data transformations and applying ML models
    • Creating web services to allow create, read, update and delete (CRUD) operations
    • Competent in project management framework such as Agile
    • Excellent communication skills, both written and verbal

     

    What expertise will bring added advantage?

    • Machine learning
    • Statistical Modelling
    • Natural Language Processing

     

    What Tools and Technologies we expect you to know?  

    • Python – pandas, django\flask, sklearn, scikit
    • SQL, BigQuery
    • Hadoop ecosystems (HDFS, HIVE, Mapreduce, Pig, Spark, Hadoop etc.)
    • Kafka
    • Apache Spark
    • Linux
    • Airflow
    Apply
  • Manager - Data Science

    India

    Roles and responsibilities

    • The Data Scientist is expected to have deep knowledge and skills in Machine Learning / Statistical Modelling / Big Data domain, and be responsible for the solution designing and project management for multiple projects/accounts
    • Design the solution for advanced analytics (including Big Data) projects – what technique to use, what tool/technology to use, etc
    • Scope out the solution in terms of time, effort, team skills needed independently
    • Own the delivery for projects including developing scalable ML models and algorithms and interpreting the output
    • Discuss various opportunities with existing and potential clients at a technical level
    • Lead the effort on developing new capabilities/offerings/solutions across the firm

     

    Ideal Candidate

    • Relevant experience of 6-8 years in advanced machine learning, advanced analytical modelling and optimization across multiple industries
    • Expert level working knowledge of Python full stack (back-end, analysis layer, implementation)
    • Proficient in the analysis of both structured, unstructured data (text, image, video), and streaming (sensor) data;
    • Working knowledge of deep learning; experience of having executed very large neural network based solutions
    • Atleast 2+ years of Big Data experience including managing a Spark/HDFS based project
    • Business domain and solutions knowledge of multiple industries, especially Retail, CPG, Telecom, etc.
    • Good knowledge of various data visualization tools, especially open source such as D3, Gephi
    • Excellent communication and client engagement skills
    • Team management experience is a plus
    • Master’s Degree in Computer Science / Mathematical Computing / Statistics / Operations Research
    • At least  5  years experience in Machine learning, Python, Big Data
    Apply
  • Assistant Manager - Llamasoft Supply Chain

    India

    Key Skills required

    • Network Optimization Modelling – Llamasoft Supply Chain Guru (SCG)
    • Understanding of supply chain business problems
    • MILP Python
    • Facility Allocation – Greenfield analysis, P-median, COG
    • Vehicle Routing – OR-tools, Python (CVRPTW)
    • Data cleansing and structuring
    • Knowledge of Python, R, SQL (optional)

     

    Key solutions worked on (preferable)

    • Interplant network optimization to integrate newly acquired business network into existing interplant network (SCG)
    • Facility allocation of new warehouse to improve customer on-time delivery (SCG)
    • Cost to serve analysis and customer realignment for an FMCG industry (SCG)
    • CVRPTW for a pharmaceutical client to find optimal routes for existing customers (OR-Tools)
    • Facility allocation and sensitivity analysis to improve service level (Greenfield)
    • Network Optimization exercise to find alternate sourcing of SKUs produced at multiple facilities across the globe (SCG)
    Apply
  • Senior Analyst - Spend Analytics

    India

    Roles and responsibilities

    • Being a part of the team working on various spend analysis projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies
    • Understanding client objectives, and working with the PL to understand, and/or aid the designing of analytical solutions
    • Collecting/Organizing/Preparing/Managing data for analysis, and conducting quality checks
    • Being able to use tools such as VBA/Python/R/Excel to aid machine learning and increase automation, in order to support various steps involved in delivering a robust spend analysis solution
    • Conduct sanity and logical checks on data and understanding business models of various public, private and not-for-profit companies, by conducting exhaustive  research on company websites and other sources of company specific information
    • Providing recommendations to clients via right category sourcing strategies, in order  to achieve spend savings
    • Making straightforward decisions basis pre-defined options using clear criteria/procedures
    • Developing complete sections of final client reports in PowerPoint; identifying trends and evaluating insights in terms of logic and reasoning, and succinctly present them in terms of an executive summary/taglines
    • Discussing queries/certain sections of deliverable reports over client calls or video conferences

     

    Ideal Candidate

    • Superior problem solving abilities and strong analytical thinking and aptitude for data collection
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal, to drive effective conversations with internal and external stakeholder
    • Good interpersonal skills and ability to effectively work in teams
    • A positive individual with an urge to learn new tools and techniques
    • Mature individual with a professional work ethic, and high degree of ownership and accountability
    • Ability to multi-task and be effective in solving problems to pace up with the nature of the project
    Apply
  • Senior Analyst - Data Analytics

    India

    Roles and responsibilities

    • Act as a lead analyst on various data analytics projects aiding strategic decision-making for Fortune 500/FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies
    • Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives/analytical plan into clear deliverables with associated priorities and constraints
    • Collect/Organize/Prepare/Manage data for the analysis and conduct quality checks
    • Use and implement basic and advanced statistical techniques like frequencies, cross-tabs, correlation, Regression, Decision Trees, and Cluster Analysis to identify key actionable insights from the data
    • Develop complete sections of final client report in Power Point. Identify trends and evaluate insights in terms of logic and reasoning, and be able to succinctly present them in terms of an executive summary/taglines
    • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to analysts to ensure an error free output
    • Aid in decision-making related to client management, and also be able to take client calls relatively independently
    • Support the project leads in managing small teams of 2-3 analysts, independently set targets and communicate to team members
    • Discuss queries/certain sections of deliverable report over client calls or video conferences


    Technical Skills:

    • Hands on experience of one or more statistical tools such as SAS, R and Python
    • Working knowledge or experience in using SQL Server (or other RDBMS tools) would be an advantage


    Other Skills:

    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal

     

    Ideal Candidate

    • 2-4 years of relevant experience in Advanced Analytics
    • Experience in using multiple advanced analytics techniques or machine learning algorithms
    • Experience in managing, cleaning and analysis of large datasets using statistical packages like R, Python, etc.
    • Experience in data management using SQL queries on tools like Access/ SQL Server
    • Understanding of consumer businesses such as Retail or CPG
    • Experience of handling small teams of 2-3 analysts
    • Experience in handling client calls and client management


    Knowledge:

    • Knowledge of basic statistical tools and techniques like cross-tabulations, correlation, regression, segmentation, etc.
    • Knowledge of working across multiple data platforms and files like flat files, RDBMS, Excel datasheets,


    Skills

    • Excellent communication skills (both written and oral)
    • Project management
    • MS Excel, R and Python
    • SQL Server, MS Access, Oracle, VB/VBA, Excel Macro Programming


    Education

    • Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities
    • MBA from top tier B-schools
    Apply
  • Senior Analyst - Data Visualisation - Power BI

    India

    Roles and responsibilities

    Solution Designing

    • Understand the business needs of the client and accordingly design the most effective visualisation solution using technologies suitable to the end users (e.g. web, mobile, app and print)
    • Make information easy to understand by designing and producing meaningful and effective data visualisations using relational and aggregate data sources
    • Create interactive visualisations to allow users to ask and answer questions using Tableau/ Qlikview (expert level) and Power BI

     

    Project and Client Management

    • Working on multiple projects of varying complexities, and ensure the best quality under the given timelines with minimal support
    • Conduct sanity checks based on reasoning and experience to ensure that deliverables are client ready
    • Be a part of deliverable discussions with clients over telephonic calls and engage with them as a thought partner for their BI challenges

     

    Most Important Requirements

    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Solution orientation and self-drive

     

    Ideal Candidate 

    • 2-5 years of relevant experience of hands-on experience on various BI tools and technologies
    • Experience in creating complex dashboards – both static, interactive and real time visualisations – that allow drill down ability and help the client take actions based on the insights provided
    • Expert-level knowledge of data visualisation and data mining using off-the-shelf BI tools – Tableau/ Qlikview (expert level) and Power BI
    • Excel, SQL and other databases to manipulate and create back-end data
    • Experience in handling client calls and client management independently
    • Experience of managing projects independently, along with handling project teams
    • Exposure to data mining and predictive analytics will be an added advantage
    • Automation and reporting/dashboard concepts

     

    Other Skills (added advantage)

    • Knowledge of other visualisation tools like Spotfire, D3, Domo, ggplot, Shiny apps is added advantage
    • Development of interactive dashboards or other visualisation like HTML5, CSS and D3, JavaScript and JavaScript libraries, including extJS, jQuery, AngularJS, Ggplot and Shiny apps
    • Exposure to cloud-based environment to develop and deploy various dashboards and visualisations
    • Knowledge of big data architecture concepts (HDFS, Map reduce, etc.)

     

    Education 

    • Engineers/MBAs from top-tier universities
    Apply
  • Assistant Manager - Data Analytics

    India

    Roles and responsibilities

    • Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
    • Organise/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready
    • Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.
    • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output
    • Interpret the output in context of the client’s business and industry to identify trends and actionable insights
    • Be able to succinctly visualise the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective
    • Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis
    • Discuss queries/certain sections of deliverable report over client calls or video conferences

     

    Client Management

    • Act as client lead and maintain client relationship; make independent key decisions related to client management
    • Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward

     

    Most Important Requirements

    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Solution orientation and self-drive

     

    Ideal Candidate

    • 4–7 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered
    • Experience in managing, cleaning and analysing large datasets using tools like Python, R or SAS
    • Experience in using multiple advanced analytics techniques or machine learning algorithms
    • Experience in handling client calls and working independently with clients
    • Understanding of consumer businesses such as Retail, CPG or Telecom
    • Knowledge of working across multiple data types and files like flat files, RDBMS files; multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud
    • Knowledge of advanced statistical techniques like Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X), ML, etc.

     

    Other Skills

    • Excellent communication skills (both written and oral)
    • Ability to create client ready deliverables in Excel and PowerPoint
    • Optimisation techniques (linear, non-linear), and knowledge of supply chain
    • VBA, Excel Macro programming, Tableau, Qlikview

     

    Education

    • Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities
    • MBA from top tier B-schools
    Apply