Manager - Financial Analytics

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)