FP&A Analyst

Job Description:

Key Responsibilities:

1. Budgeting & Forecasting

•  Support the preparation and consolidation of the annual budget and quarterly forecasts across business units.
•  Analyze variances against budget and prior forecasts, identifying key drivers and actionable insights.

•  Work closely with operations and delivery teams to ensure alignment of financial plans with business objectives.

2. Board & Management Reporting

• Assist in preparing monthly, quarterly, and annual performance decks for internal management and board meetings.
•  Generate monthly P&L reports by business unit, and highlight key trends or anomalies.
• Track and report monthly KPIs across departments to monitor business health and productivity.

3. Pricing Support

•  Build and maintain financial models to support pricing for new and existing clients.
• Analyze the profitability and scalability of service offerings and client accounts.

4. Automation Support

•  Identify manual processes within FP&A reporting and contribute to automation initiatives.
• Collaborate with tech and analytics teams to streamline data flows and reporting efficiency.

5. Ad Hoc Analysis & Reporting

• Support one-off strategic and financial analysis requests from senior management.
• Perform scenario analysis and sensitivity modeling to assist in decision-making.
• Support Buy-side M&A cycle 6. Data Integrity & Accuracy ∙
• Ensure consistency and accuracy across reporting systems and financial models.
• Reconcile financial data with accounting and operational sources to maintain trust in outputs.

Qualifications: ∙

• Bachelor’s degree in Finance, Accounting, Economics, or a related field
• CA/MBA/CMA is a plus.
• 3–5 years of experience in FP&A or corporate finance, preferably in a BPO or services environment.
• Advanced proficiency in Excel.
• Strong understanding of financial statements, unit economics, and operational KPIs. 
• Excellent analytical and communication skills; ability to convey financial data to non finance stakeholders.
• Strong drive to dig deep into unstructured problems, uncover insights, and proactively suggest process improvements or data-driven solutions.