Job Description: FP&A; Analyst (Data & AI Specialist)

Location:
Hinjewadi, Pune (Hybrid)

Experience:
5+ years

Employment Type:
Full-time

Position Overview -

We are seeking a data-driven FP&A; Analyst to drive financial forecasting, corporate budgeting, and strategic business insights. The ideal candidate bridges the gap between traditional corporate finance and modern data analytics. You will leverage Power BI, advanced data modeling, and AI automation tools to transform complex financial data into actionable executive dashboards and automated workflows.

Key Responsibilities -
- Financial Planning & Analysis:
Annual budgeting, rolling forecasts, variance analysis, and long-range strategic financial planning.
- Business Intelligence & Dashboards:
Design, build, and maintain automated financial dashboards in
Power BI
using complex DAX and Power Query.
- Advanced Data Modeling:
Construct robust financial models in
Advanced Excel
to support scenario planning, and business cases.
- AI & Automation:
Implement AI-driven tools (e.g., Microsoft Copilot, ChatGPT,



or Python scripts) to automate repetitive data ingestion, financial reporting, and predictive forecasting.
- Executive Reporting:
Present monthly and quarterly Management Information Systems (MIS) reports to senior leadership, highlighting risks, opportunities, and cost-saving measures.

Required Qualifications & Skills -

Education & Experience
- Background:
Bachelor’s/master’s degree in finance, Accounting, Commerce, MIS, Data Analytics, or an MBA (Finance). Qualified certifications like CFA, CMA, or CA are a strong plus.
- Experience:
Minimum 5+ years of progressive experience in FP&A;, Corporate Finance, or Financial Business Intelligence.

Technical Tech-Stack
- Advanced Excel:
Mastery of Power Query, Power Pivot, complex formulas, VBA/Macros, and financial model architecture.
- Power BI:
Expert level in ETL pipelines, star-schema data modeling, row-level security, and writing advanced DAX queries.
- AI &

📌 FP&A Analyst (Pune Division)
🏢 AkzoNobel
📍 Pune Division