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Roles and Responsibilities:
- Support business decisions by formulating hypotheses, structuring the problem, analyzing relevant data to verify hypotheses and preparing documentation to communicate the results with insights.
- Monitor key metrics such as revenue, gross margin, item price, conversion, customer count, and so on.
- Build templates and dashboards in Excel, Google Sheets, or PowerBI for operational and management reporting.
- Analyze platform and category level metrics to isolate problems or strength areas to address or leverage.
- Develop and implement strong reporting formats that provide a comprehensive view of the portfolio's health.
- Utilize statistical and analytical models and methods for data analysis related to customer initiatives and growth strategies, including issue diagnosis, problem dissection, and tracking of results.
- Extract data as per business requests for ad hoc analysis.
- Work with departmental managers to outline the specific data needs for each business method analysis project.
Qualifications & Experience:
- An engineering degree from an accredited university or college.
- At least 18 months of work experience as a Data Analyst or in a related analytics area.
- Demonstrable experience in handling large data sets and relational databases (must be proficient in SQL).
- High competency in written and verbal communication skills.
- Ability to work with others in a fast-paced, team environment and to interact effectively with all levels of management.
- Results-oriented with excellent communication and interpersonal skills and can work individually with minimal or no supervision.
- Experience with advanced MS Excel, Python or R and SQL is required.
- Key skills required: Statistics/Math Skills, MS Excel, Python or R, SQL, PowerBi (optional).
