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Recognizable financial brand and metro location increase competition, but BI/FP&A specialization moderately reduces applicant density.
Core BI and data skills are transferable, but FP&A domain knowledge increases industry specificity.
Explicit 6–9 years, mandatory Power BI/DAX/SQL/Python skills and FP&A experience create strict shortlisting filters.
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Own development and maintenance of financial performance reporting dashboards leveraging Power BI and data modeling.
Drive data extraction and analysis using SQL, Python, and advanced Excel to support FP&A or related financial domains.
Implement AI tools and automation to enhance financial data insights and reporting efficiency.
6 to 9 years of experience in BI, data analysis, reporting, or financial performance domain.
Strong expertise in Power BI, DAX, data modeling, dashboard development, and advanced Excel skills (formulas, Power Query, Pivot Tables).
Proficient in SQL, Python for BI and AI agents, and experience with AI suites like Copilot, Claude.
Qualification: BE/BTech or equivalent degree in quantitative or technical field.
Experienced in financial performance management or FP&A with strong data analytics and BI tool expertise.
Comfortable integrating AI and automation into reporting processes to improve insights and operational efficiency.
Capable of handling complex data modeling, dashboard development, and interpreting financial data meaningfully.