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Current vacancies

  • Senior Analyst - Market Mix Modeling ( joining within 15 days to max 30 days time)

    Gurgaon, India, Noida

    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)

    Gurgaon, India, Noida

    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

    Gurgaon, India, Noida

    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

    Gurgaon, India, Noida
    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

    Gurgaon, India, Noida
    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
  • Assistant Manager - Digital Analytics

    India

    Looking for someone with

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

     

    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 Personalisation tools like Adobe Target or Optimise.
    • Leverage statistical tools to blend data from multiple sources and generate insights.
    • Experience with visualisation tools like Tableau, Google Data studio.
    • Develop reports and Dashboards to meet clients’ needs.

     

    Good to have experience

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

     

    Experience required

    • Minimum 4 years of relevant experience
    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 - 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 4-6 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 4  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

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