We are hiring for one of the world's best analytics firm, role will be based out of Bangalore and Delhi/NCR
Expectation from the Candidate:
- Extract credit and retail transaction data, conduct exploratory data analysis, and address common data issues like missing and extreme values
- Develop the develop statistical models to support business needs, such as prospecting, retention, shopping-cycle, reactivation, and new account nurturing models, etc
- Develop data-driven marketing initiatives or reward programs to manage customer relationship, drive sales, enhance executions, and increase productivity
- Document analysis processes and results, summarize data insights
- Use advanced analytics to assess portfolio performance, identify business opportunities, and drive critical business decisions
- Translate business problems into statistical problems, and develop statistical models to support business needs, such as prospecting, retention, shopping-cycle, reactivation, and new account nurturing models, etc
-. Derive customer insights through predictive modeling to address business needs, and recommend solutions
- Design data-driven marketing initiatives to manage customer relationship, drive sales, enhance executions, and increase productivity
- Research on state-of-art statistical analysis techniques to continuously improve Advanced Analytics team's competence within the analytics industry
Basic Qualifications:
- Bachelor's degree in engineering/MBA or equivalent
- 0-3 years experience as a Business Analyst or in an equivalent role
- Expert level MS Excel and SQL skills
- Excellent analytical problem solving skills
- Good writing skills to communicate with business and technical teams
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously
Preferred Qualifications:
- Superior verbal and written communication skills
- Ability to work in a fast-paced environment where continuous innovation is desired and ambiguity is the norm
- A history of teamwork and willingness to roll up one's sleeves to get the job done. Must be highly hands-on
- Experience in dealing with clients and stakeholders directly
- Proven analytical and quantitative skills, including the ability to effectively use tools such as Excel, Data Warehouse, SQL
- Ability to use hard data and metrics to validate hypotheses and justify business decisions
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