





Strong employer brand, metro location, and common entry-level FP&A title increase candidate competition.
FP&A, SQL, Python, and Excel skills transfer across industries, but finance domain knowledge still matters.
Explicit 0–2 years plus mandatory SQL, Python, and advanced Excel create moderate shortlisting filters.
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Support FP&A activities including reporting, planning, forecasting, variance analysis, and business performance reviews.
Identify and implement improvements and automation in FP&A processes to increase efficiency and accuracy.
Build and maintain reports, dashboards, and perform data extraction and analysis using SQL, Python, and advanced Excel.
Bachelor’s degree in Engineering, Finance, Business, Technology, Data, or related quantitative field.
0–2 years of relevant work experience.
Proficiency in SQL, Python, and advanced Excel for data querying, automation, and reporting.
Position based in Gurgaon, India with legal authorization to work in India without sponsorship.
Comfortable working with large datasets and skilled at identifying patterns, issues, and improvement opportunities in financial data.
Ability to translate business requirements into technology-enabled FP&A solutions through automation and data analysis.
Experience or academic exposure to FP&A concepts, process improvement, and financial reporting automation tools.