Manager - Financial Analytics

2 weeks ago

Tumkūr, India Razorpay Full time

We are seeking a high-caliber Financial Analytics Manager to lead our financial data analytics strategy, deliver actionable business intelligence and drive strategic planning within the Finance department. The ideal candidate will have 6-8 years of experience, preferably gained within high-growth startups or core analytics companies, demonstrating deep expertise in finance, data science, and team leadership. Experience with investor reporting is a significant advantage. Key Responsibilities: 1. Financial Modeling & Strategic Analysis: - Conduct deep-dive variance and performance analysis across key financial statements (P&L, Balance Sheet, Cash Flow) to identify risks, opportunities, and efficiency gains. 2. Business Intelligence & Reporting: - Design, build, and maintain scalable data pipelines, dashboards, and reports using advanced tools to provide real-time visibility into financial health. - Define and track critical financial and operational metrics relevant to the business (e.G., LTV, CAC, Payback Period, Cohort Analysis, Margins). - Ensure the accuracy, reliability, and security of financial data used for reporting and decision-making. 3. Team Leadership & Management: - Manage, mentor, and coach a team of Finance Analysts, setting clear performance expectations and fostering a culture of data quality and analytical rigor. - Standardize and streamline analytical workflows and tools to improve the efficiency and speed of the Finance function. 4. Investor Relations: - Contribute to the preparation of clear, compelling, and data-backed reports and presentations for investors, the Board of Directors, and executive leadership. Mandatory Skills & Qualifications: 1. Experience: 6-8 years of experience in Finance Analytics, FP&A, or Business Intelligence, ideally within a high-growth environment. 2. Education: Bachelor's or Master's degree in Finance, Data Science, Economics, Statistics, or a related quantitative field. 3. Financial Acumen: Excellent understanding of core financial metrics, accounting principles, and financial planning processes. 4. Technical Expertise: - SQL: Expert-level proficiency for complex data extraction, manipulation, and ETL processes. - Python: Hands-on experience with data manipulation and statistical libraries (e.G., Pandas, NumPy) for advanced financial analysis and modeling. - Visualization: Advanced proficiency in at least one leading BI tool: Tableau or Power BI. 5. Leadership: Proven experience in leading, managing, and developing a team of analysts. Preferred Qualifications: - Direct experience in preparing comprehensive financial packages for investors or the Board of Directors. - Exposure to and interest in leveraging AI tools (e.G., generative AI, machine learning) to enhance forecasting accuracy and operational efficiency. - Experience with a modern data warehousing environment (e.G., Databricks, BigQuery)

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