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| Full-time
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
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Assist in preparation of monthly MIS reports for leadership.
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Consolidate financial and operational data from multiple sources.
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Ensure data accuracy, reconciliation, and consistency across reports.
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Support variance analysis (Actuals vs Budget vs Forecast).
2. Data Handling & Analytics
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Extract, clean, and structure large datasets for reporting and analysis.
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Automate recurring reports wherever possible.
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Identify trends, anomalies, and key performance drivers.
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Support dashboard development for management reporting.
3. FP&A Support
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Assist in budgeting and forecasting exercises.
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Support cost tracking, revenue tracking, and business performance analysis.
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Work with cross-functional teams to gather inputs for planning cycles.
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Provide ad-hoc financial analysis as required by the Finance team.
4. Process Improvement
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Improve reporting efficiency and reduce manual effort.
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Suggest data validation and control mechanisms.
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Standardize MIS formats and documentation processes.
Key Skills & Competencies
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Strong analytical and problem-solving skills
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High comfort working with large datasets
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Advanced Excel / Google Sheets proficiency (mandatory)
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Experience with SQL / Power BI / Tableau / Python is a plus
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Strong attention to detail
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Ability to work in an unstructured startup environment
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Good communication skills to explain numbers clearly
Qualification & Experience
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Experience: 2+ years in FP&A / MIS / Business Analytics / Data roles (startup exposure preferred)
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Academic Qualification: BE / B-Tech / Data Analytics
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MBA (Finance / Analytics) is a plus
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