SAP Analytics Cloud with Databricks

About the role

Are you confident building analytics solutions across SAP and cloud data platforms? 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

What you'll do

• 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
• 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

What you need

• 1–3 years in data science & ai
• Databricks
• SAP
• Analytics
• SQL
• Python
• ETL
• Any graduate

Good to have

• Spark
• SAP HANA
• Azure
• Reconciliation
• Prototyping