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UBS · United States

# SAP Analytics Cloud with Databricks

United States Data & Analytics 

Listed on UBS’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.
[Apply on UBS’s careers site →](https://jobs.ubs.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25008&siteid=5012&PageType=JobDetails&jobid=349756)

[OpenNash Jobs](https://jobs.opennash.com/) / [UBS](https://jobs.opennash.com/companies/ubs/) / SAP Analytics Cloud with Databricks

## Job description

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

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: Under a day
- Location: United States[Apply on UBS’s careers site →](https://jobs.ubs.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25008&siteid=5012&PageType=JobDetails&jobid=349756)

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OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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