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Ways of Working: Hybrid – Employees will come to the office thrice a week at their base location and work remotely for the remaining days.

Responsibilities:

• Reporting: Develop and manage views for different business metrics: Dashboards, and scorecards. Coordinate with MIS and analytics for data gathering using SQL/excel and ensuring data sanity for day-to-day reporting.
• Category: Developing and executing category planning, Inventory & Event
• Program management: Program managing the P&L plans and Event projects. Designing activity systems, tracking mechanisms, and ensuring timely callouts and alignments as needed for the plans. Identify city-level opportunities and execute projects.
• Analysis: Analyze data & generate key insights on the business & other mission-critical metrics
• P&L management: Be the SPOC for consolidating & reviewing partnerships P&L, along with Biz Fin/accounting teams.
• Process/Program Management: End-to-end process/program management of strategic partnerships, by liaising with key stakeholders internally and leading the execution to completion
• Strategic Initiatives: Ideate, problem-solve & implement key process improvement initiatives within the team.

Desired Skills:

• Bachelor’s degree in engineering, Mathematics, Statistics or a related technical field.
• 3–5 years of experience in business analysis, consulting, or data analytics roles.
• Technical proficiency: Expertise in SQL, Excel, Python and other data visualization tools like Power BI is essential. working knowledge of AppScript and Appsheet is a plus.
• Business acumen: Understanding of business metrics, P&L, and Category strategies is important.
• Project management: Ability to scope ambiguous problems, structure them, and drive them to completion.
• Interpersonal skills: Strong communication and collaboration skills to work effectively with various teams and levels of leadership.

What will you work on?

• Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed.
• Monitor and forecast key business metrics regularly.
• Conduct regular planning and reviews key performance metrics and aid in benefitting from change.
• Identify the right metrics to track progress against a given business goal.
• Design, run and measure experiments to test business hypotheses.
• Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms.
• Develop compelling stories with business insights, focusing on the strategic goals of the organization
• Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by the law.