Fp&a- data science (Hyderabad)

Fp&a- data science (Hyderabad)

17 Aug
|
Sol-Millennium Medical Group
|
Hyderabad

17 Aug

Sol-Millennium Medical Group

Hyderabad

About the Role
We are modernizing how our Finance team plans, forecasts, and reports. As a manufacturing and distribution business, our financial outcomes are tied closely to inventory, COGS, distribution costs, supplier terms, and customer demand — and we want our FP& A team to use modern data tools and AI to see those signals earlier and act on them faster.
This is a newly created role to bring data science, machine learning, and AI into FP& A. You will help our analysts move from manual, spreadsheet-heavy work to governed, automated, AI-assisted workflows — and you will personally build the forecasts, dashboards, and AI assistants that change how Finance partners with the business. You will work with tools like Snowflake, Planful, Python, Power BI, and contemporary LLMs, and your job is to make them practical and useful for the rest of the FP& A team.
No Finance Degree is required, but you should understand business drivers, controls, and how to turn technical capabilities into practical FP& A solutions.
Key Responsibilities




Build the FP& A data foundation — bring together GL (SAP Business One), planning (Planful), sales and customer data (Salesforce), T& E (Expensify), and procurement spend (Procurify) into a single, trusted finance data set in Snowflake. Make sure it is reliable, well-documented, and ready for analysis. Modernize forecasting and scenario planning — replace static, manual budgets with rolling, driver-based forecasts for revenue, COGS, opex, headcount, inventory, and cash. Build scenario models so leaders can quickly see the impact of demand shifts, pricing, supplier costs, and FX. Feed outputs back into Planful so the planning cycle stays simple. Bring AI assistants into FP& A workflows — use LLMs and AI agents to draft variance commentary, summarize results, answer ad-hoc finance questions, and automate repetitive reporting tasks — always with a human review step. Catch anomalies before they become problems — build models that flag unusual GL posting

📌 Fp&a- data science (Hyderabad)
🏢 Sol-Millennium Medical Group
📍 Hyderabad

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