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Current vacancies

  • Associate Expert - Design

    India

    Roles and responsibilities

    • Designing a wide variety of original communications across digital and offline media to aide business and sales team
    • Should be able to ideate infographics, charts representation, PPT Presentation enhancement, Print/Web Proposals, Posts and story boards for videos
    • UI/UX expert for web based portal front end design
    • Experience in motion-based storytelling
    • Should be able to understand the brand guidelines and its implementation while designing various Brochures, catalogues, stall setups, event branding, value reports and other internal and external communications 
    • Thinking creatively to produce new ideas and concepts and developing interactive designs
    • Manage and lead multiple projects independently and simultaneously where the project timelines, project brief definition, brainstorming is managed with all the stake holders of the project and within the agreed timelines
    • To be independent in discussing project briefs with internal as well as external clients, re-structuring / redefining the brief from a brand and design perspective.
    • To be deft at communication with stake holders at every step

     

    Ideal Candidate

    • Domain Skills
      • 7–9 years of experience as a communication/graphic designer
      • UI/UX demonstrable expertise (Software-XD/FIGMA or likes)
      • Exposure to HTML coding for front-end development in Adobe Dreamweaver is a plus
      • Excellence in video animation and Adobe After Effects (Adobe Premiere PRO- would be an added benefit)
      • Expert command on Adobe Creative Suite (Illustrator, Indesign, Photoshop)
      • Experience in PPT design
      • Brainstorming skills
      • Excellent communicator, both written and verbal
      • Bachelor’s degree in graphic design or other multimedia-related field from reputable institutes, such as NID, NIFT, SHRISTI, PEARL and MAAER’s INSTITUTE OF TECHNOLOGY (not a must though)
      • Demonstrable design skills with a strong portfolio

    • Business Skills
      • Proactive feedback seeker
      • Good at design documentation
      • Strong analytical thinking
    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 optimisation 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 visualisation 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
  • Senior Analyst - 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 2-4 years in advanced machine learning, advanced analytical modelling and optimisation 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 visualisation 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 2  years’ experience in Machine learning, Python, Big Data
    Apply
  • Senior Analyst - Data Visualisation - Qlikview

    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
  • 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
  • Senior 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

    • 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 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
  • 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

    • 6-8 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
  • 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
  • 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/Organise/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, Cluster Analysis, etc. 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

    Work Experience

    • 3-6 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

     

    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, 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