About this role
Role Overview We are looking for a detail-oriented and analytical FP&A Analyst to support the Finance team in managing and analyzing large datasets for monthly MIS and business reporting. This role is ideal for someone with 2+ years of experience in a fast-paced startup environment who is comfortable working with raw data, building structured reports, and generating insights that support business decision-making. The incumbent will work closely with Finance, Business, and Operations teams to ensure accurate, timely, and insightful reporting. Key Responsibilities 1. Monthly MIS & Reporting Assist in preparation of monthly MIS reports for leadership. Consolidate financial and operational data from multiple sources. Ensure data accuracy, reconciliation, and consistency across reports. Support variance analysis (Actuals vs Budget vs Forecast). 2. Data Handling & Analytics Extract, clean, and structure large datasets for reporting and analysis. Automate recurring reports wherever possible. Identify trends, anomalies, and key performance drivers. Support dashboard development for management reporting. 3. FP&A Support Assist in budgeting and forecasting exercises. Support cost tracking, revenue tracking, and business performance analysis. Work with cross-functional teams to gather inputs for planning cycles. Provide ad-hoc financial analysis as required by the Finance team. 4. Process Improvement Improve reporting efficiency and reduce manual effort. Suggest data validation and control mechanisms. Standardize MIS formats and documentation processes. Key Skills & Competencies Strong analytical and problem-solving skills High comfort working with large datasets Advanced Excel / Google Sheets proficiency (mandatory) Experience with SQL / Power BI / Tableau / Python is a plus Strong attention to detail Ability to work in an unstructured startup environment Good communication skills to explain numbers clearly Qualification & Experience Experience: 2+ years in FP&A / MIS / Business Analytics / Data roles (startup exposure preferred) Academic Qualification: BE / B-Tech / Data Analytics MBA (Finance / Analytics) is a plus