SAP Analytics Cloud with Databricks

This role involves developing forecasting tools for finance and operations using SAP and cloud platforms. You'll build data pipelines and models to support decision-making. Ideal for someone with hands-on experience in SAP Analytics Cloud and Databricks, looking to work on scalable analytics solutions in a finance context.

Summarised by InternDoor from UBS’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Design forecasting models for finance and operations using SAP and cloud platforms
• Build data pipelines with Python, PySpark and SQL on Azure Databricks
• Work with finance teams to create transparent, scalable analytics solutions

Required

• SAP Analytics Cloud strong hands-on expertise in SAP Analytics Cloud (SAC) and Azure Databricks
• SAP HANA databases hands-on experience with SAP HANA databases (mandatory)
• SAP S/4HANA data
• Python, PySpark and SQL
• Azure Databricks experience using Azure Databricks, including notebooks, jobs and workflows, Spark, Delta Lake processing, MLflow and modern deployment practices
• Forecasting concepts Strong understanding of forecasting concepts such as driver-based planning, rolling forecasts, model validation, back-testing and forecast accuracy
• SAP Business Data Cloud
• SAP Analytics Cloud skills practical knowledge of SAP Analytics Cloud, including planning models, versions, data actions, dashboards, stories and scenario analysis
• SAP HANA Cloud experience with SAP HANA Cloud or comparable SAP data and analytics capabilities, including semantic modelling and data integration

Nice to have

• Probabilistic forecasting Experience with probabilistic forecasting, hierarchical forecasting, causal methods, optimisation or Monte Carlo simulation
• Model governance Knowledge of model governance, data lineage, observability, continuous integration and continuous delivery (CI/CD), or infrastructure automation
• SAP Datasphere Familiarity with SAP Datasphere, SAP H&A Cloud, SAP Fiori, Azure Data Lake Storage, Azure DevOps or Power BI
• Reusable forecasting products Experience developing reusable forecasting products or self-service capabilities across multiple business units, markets or planning domains

Read from UBS’s posting. Its own wording is the one that counts.

1. Check what they ask for. Read the requirements above.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
3. Apply on LinkedIn. The application is on linkedin.com, not on InternDoor. We never ask for a fee.

Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

4 Nov 2026, on LinkedIn

First seen by InternDoor

4 Nov 2026, within 4 minutes of being posted

Last checked

4 Nov 2026: the posting was still in LinkedIn’s search results. We have not checked its application page.

Application deadline

UBS has not stated one

Leaves InternDoor

By 4 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

linkedin.com

What we checked, and what the dates mean

The date this listing leaves InternDoor is our own rule, not a deadline set by UBS. Postings can close earlier, at any time.

InternDoor has recorded 3 engineering postings from UBS in India since Sept 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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