Job Location: Bangalore/Bengaluru
Responsibilities:
Planning –
- Draft Annual, Monthly, daily, hourly Revenue other input metric plan for BAU and event days with close coordination / alignment with cross functional teams
- Ensure revenue planning at different segments Business unit wise, Geography, Season, Purchase recency, purchase sequence, etc
- Coordinate with different teams for obtaining planning inputs in time ensure plans are aligned / agreed with stakeholders before set timelines
- Develop reporting formats which give a 360-degree view of the health of the business
Revenue Management –
- Support business decisions by – formulating hypothesis, structuring the problem, analyze relevant data to verify hypothesis and prepare documentation to communicate the results with insights
- Monitor key metrics such as revenue per unit, gross margin, conversion, average item price value, customer acquisitions, etc. and take corrective actions
- Data analysis for problem-solving sessions during key events BAU days and ensure execution of the actions through close coordination with different teams
- Use statistical methods to analyze data and generate useful business reports.
- Work with the management team to create a prioritized list of actions for each area of the business
- Conduct analysis within a larger project stream for understanding revenue and other metric trends
Qualifications Experience:
- Bachelor s Degree from an accredited university or college.
- Work experience as a data analyst or in related analytics area for at least 12 months
- Demonstrated experience in handling large data sets and relational databases (SQL exposure a must)
- High-competency in written and verbal communication skills (preparation of business documentation a must)
- Able 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, can work individually with minimal or no supervision
- Experience with advanced MS Excel, Python or R and SQL a must ; intermediate statistics will be a plus.
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