Business Associate

Ways of Working:

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.