• Understand the business problem, able to convert it as an analytical problem.
• Understand the data need, collect, interpret and clean the data for analysis
• Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context
• Able to present the analysis and results to the business stakeholders
• Generate BI reports and able to automate them
• Work with management to prioritize business and information needs

Educational Qualification:

• Graduate / Post-graduate degree in Business Management / Statistics / Economics / Finance

Required Experience:

• 1-3 years of experience working in analytics, data science or related experience
• Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc.
• Working experience with tools such as Google Analytics/ Adobe Analytics

Required skills and competencies:

• Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports
• Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI
• Strong analytical skills to be able to understand the business problem, collect and analyze the data and able to interpret the results
• Strong written and verbal communication skill and be able to present the results to the senior stakeholders
• Overall understanding of US Retirement Industry
• Self-motivation, excellent accountability and ownership skills