Your role
Do you enjoy turning complex finance and operational data into practical forecasts?
Are you confident building analytics solutions across SAP and cloud data platforms?
We're looking for a Software Engineer to:
design and deliver forecasting capabilities for finance and operational use cases, including driver-based planning, time series forecasting and scenario analysis
build reusable analytics solutions across SAP S/4HANA, SAP Analytics Cloud, SAP Business Data Cloud, Databricks and Microsoft Azure
develop data pipelines and analytical models using Python, PySpark and SQL, with clear controls for quality, reconciliation and lineage
combine SAP actuals, master data, business drivers and external signals to create forecasts that are transparent, scalable and actionable
work with finance, data and technology teams to translate planning questions into user stories, model assumptions and measurable outcomes
support prototypes, testing, deployment, documentation and continuous improvement in an agile delivery environment
Job Type
Full Time
Job Reference #
342303BR
City
Pune
Your team
You'll be working in our Finance Technology team, helping finance and business teams make better planning decisions through trusted data, forecasting models and decision simulations. Our work connects SAP and non-SAP data with cloud analytics capabilities, so colleagues can understand forecast drivers, compare scenarios and act with confidence. As part of this team, you'll play an important role in making forecasting solutions easier to reuse, monitor and improve across planning domains.
Your expertise
you’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use
experience in analytics, forecasting, enterprise planning, data engineering or applied machine learning, ideally within a finance or enterprise technology setting
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📌 (SAP & Azure)- Dynamic Forecasting & Analytics Specialist (Pune)
🏢 UBS
📍 Pune