Senior Financial Planning Analyst

FP&A Analyst – Commercial

Location: Hyderabad

Pharma Background is highly recommended

Job Description summary

The Azurity Finance Team is seeking US stakeholders across demand planning, revenue analysis, and product performance. The role focuses on delivering insights into budgeting, forecasting, KPI tracking, and commercial decision support in a fast-paced, regulated environment.

Role and Responsibilities

• Support budgeting and forecasting processes for Commercial functions, including tracking key KPIs (sales growth, volume, price realization, gross margin) and providing insights.
• Assist in analyzing and explaining revenue and gross margin variances, highlighting key drivers across products, markets, and channels.
• Support development of budgeting and forecasting models, incorporating demand assumptions, pricing, and commercial inputs.
• Assist US-based FP&A teams in Monthly Close activities, including proposing accruals and preparing variance explanations in coordination with commercial stakeholders.
• Assist in delivering structured variance analysis (Actuals vs Budget/Forecast) with quantified drivers and actionable insights.
• Assist in demand planning activities, aligning forecasts with inputs from commercial and supply chain teams.
• Support preparation and maintenance of Product P&L analysis, tracking revenue, gross margin, and product-level profitability.
• Work closely with Commercial (Sales, Marketing,) teams to understand business drivers and provide financial insights.
• Assist in tracking and reporting commercial Opex, ensuring alignment with budgets and financial plans.
• Support process improvements and automation initiatives across commercial FP&A, leveraging AI/Excel and Power BI / data visualization tools.

Qualifications and Education Requirements

• Education: CA with 3-5 years of relevant experience/CA Inter with 6+ years of experience
• Pharmaceutical industry experience is a plus.
• Experience with Oracle and Workday is preferred.
• Advanced proficiency in Microsoft Excel, including automation techniques, along with experience in Power BI / other data visualization tools for reporting and insights.