Financial Data Analyst

About the role

We are looking for a highly analytical and detail-oriented FP&A Analyst to support financial planning, budgeting, forecasting, and business performance analysis. The role is responsible for building financial models, monitoring key financial and operational KPIs, preparing management reports and dashboards, and providing data-driven insights to support strategic decision-making. Working closely with cross-functional teams, the FP&A Analyst helps optimize business performance, improve operational efficiency, and support the company's growth objectives.

Key responsibilities

• Create annual company budgets and update rolling financial forecasts, tracking Gross and Net Burn Rates and calculating Cash Runway to ensure the business has the liquidity it needs to scale and execute its strategic roadmap
• Build complex, dynamic models that drive analysis down to the individual customer level, tracking Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), and Payback Period
• Conduct Cohort Analysis to understand how different groups of customers behave, spend, and retain over time
• Track marketing efficiency (such as Return on Ad Spend (ROAS)) and operational metrics (such as recruitment turnaround rates, inventory turnover, or customer support resolution times)
• Uncover root causes of variances to determine whether issues stem from financial overspend or operational bottlenecks
• Create intuitive dashboards and presentations for the executive team and board of directors, highlighting forward-looking KPIs, efficiency ratios, and customer retention trends
• Collaborate with cross-functional leaders (Marketing, HR, Operations) to allocate capital efficiently and measure the ROI of their initiatives

About you

• Bachelor's degree in Accountancy, Finance, Economics, Mathematics, Statistics, or a related field
• 3 years of experience in Financial Planning & Analysis (FP&A), Financial Analysis, Corporate Finance, General Accounting, Management Reporting, or Business Analytics
• Advanced proficiency in Microsoft Excel and strong experience with financial modeling, budgeting, forecasting, and variance analysis
• Proficient in BI and dashboard tools such as Power BI or Tableau, with the ability to transform complex data into actionable insights
• Strong understanding of financial statements, working capital management, revenue recognition, and cash flow analysis
• Highly analytical with experience in financial/economic modeling, unit economics, and data-driven decision-making
• Excellent communication and presentation skills, with the ability to simplify complex financial information, influence stakeholders, and confidently provide data-backed recommendations
• Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment
• Knowledge of SQL, Python, AI tools, or other automation technologies to streamline reporting and financial analysis is an advantage