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Data Analyst | Location: Mumbai | 05 August

Job Description & Work Exp.

  • Strong analytical and critical thinking with problem solving ability.
  • Strong business acumen, ability to assess impact on business performance.
  • Excellent articulation communication (written and verbal).
  • Good Presentation skills.
  • Excellent customer handling skills.
  • Responsive and leads by example.
  • Project managing initiatives by working with other team members.
  • High adaptability to changing requirements customers dynamics work demands.


  • Digital marketing Reporting (Web and Mobile) - designing and generating reports to BU, IND and leadership team around web metrics with KPIS deriving the flow of traffic to overall site / specific sections. Insights and commentary highlighting the trends and suggesting ways to improve the flow of traffic and help business in taking effective decision making
  • Reporting: Summarize survey data using tables, graphs, and fact sheets, ability to identify trends, conceptualize reporting formats, and write inferences (commentary)
  • Deliver recurring Business critical data, analysis, and insights efficiently in the form of executive dashboard /reports
  • Ad-Hoc Reporting and Troubleshooting: assist team in ad-hoc reports, delivery of data and troubleshooting, ensuring high quality output.
  • Ability to conceptualize new dashboards and leadership reports based on client and business requirements and provide insights into business performance, identifying areas of deep dive, analyze and suggest improvements to various initiatives
  • Develop analytical solutions using data techniques, mathematical & statistical approaches, Business Domain Context, Competitive & Market research and  Perform time series, ARIMA, machine learning algorithm and etc to build and continue to enhance the forecast model.
  • Update the code the model to minimize the variance for all the models to help business understand the root causes behind the variation. Use the learning to improve the overall modeling process.
  • Manage the process and quality of data collected for model build and refresh
  • Provide guidance and share best practices to other team members (assists in orienting, training, assigning), thus aid in development of domain knowledge

Skills and Qualifications

  • Experience in building model using statistic techniques such as Time Series, Statistical Modeling, Predictive Analytics, Forecasting, Data Extraction, Data Processing, Process Design, Variance Analysis and Visualizations.
  • 2 to 4 years of hands on experience in building statistical model and Visualizations (using cloud tools preferred) 
  • Must have excellent knowledge and programming capability using SQL, working with Google Big Query and Machine Learning Models added advantage.