Manager - Financial Analytics

7 days ago

Bengaluru, Karnataka, India Razorpay Full time ₹ 12,00,000 - ₹ 24,00,000 per year

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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