Job Openings DATA ANALYST | Predictive Analytics Decision Management

About the job DATA ANALYST | Predictive Analytics Decision Management

KEY RESPONSIBILITIES:
  • Use appropriate statistical techniques to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies
  • Develop appropriate methodology for analyzing and interpreting results from product features A/B testing
  • Work on multiple analytic projects such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis
  • Provide data, insights and reporting support to various teams
  • Drive the collection of new data and the refinement of existing data sources
  • Prepare data for statistical analysis and machine learning algorithms
  • Maintain and advance analytic database. Conduct periodic data QA
  • Working with technical and non-technical customers to design experiments and communicate statistical results
  • Leading training and informational sessions on statistics
  • Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
TO QUALIFY:
  • Master’s Degree or PhD in a relevant technical field such as Statistics, Math and Computer Science, Mathematics, Economics and Analytics with 7+ years’ experience in a relevant Data Scientist role post-graduation
  • Extensive experience solving business problems using quantitative approaches
  • Comfort with extracting, manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Strong passion for data driven research for answering hard questions with data
  • Early adopters of new tools, technologies, etc.
  • Decent understanding of business
  • Structured problem-solving skills to translate problems into solutions
  • Flexible analytic approach that allows for results at varying levels of precision
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Familiarity with relational databases and intermediate+ level knowledge of SQL
  • Expert knowledge of R; Experience with other analytic tools such as Looker – a strong plus
  • Experience working with large data sets, familiarity/experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
  • Problem-solving and analytical abilities
  • Proficiency in any of the statistical software such as R, S-plus, SAS, STATA, python programming etc.
  • Good verbal and written communication skills and an ability to work in a team environment
  • A solid grounding in applied statistics including expertise in at least one of the following is a must:
    • Reliability models
    • Markov Models
    • Stochastic models
    • Bayesian modeling
    • Classification models
    • Cluster analysis
    • Neural network
    • Non-parametric methods
    • Time series analysis
    • Forecasting
    • Multivariate statistics
  • Experience in building and deploying business relevant analytics assets
  • Experience in real time analytics asset development & deployment
  • Experience in Applied Machine learning is an added advantage
  • Experience in any of the domains:
    • Retail
    • Consumer Products Marketing
    • Network
    • Supply Chain
    • F&A
    • Procurement
    • Life Science
    • eCommerce
    • Banking Finance
    • Health Care
    • Human Resources
    • Digital Marketing

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