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Manager - Financial Analytics

Manager - Financial Analytics

RazorpayKakinada, IN
6 days ago
Job description

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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    Manager • Kakinada, IN

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