Business Intelligence Consultant - SAP BW / SAP Datasphere

Siegwerk Druckfarben AG & Co.KGaA

Siegburg, Germany

9 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Junior

Job location

Siegburg, Germany

Tech stack

Business Analytics Applications

Information Engineering

Data Integration

Information Technology Operations

Power BI

SAP Applications

SAP NetWeaver Business Warehouse

Tableau

SAPBasis

Information Technology

Data Analytics

QlikView

Data Pipelines

Job description

Data engineering & modeling: In this role, you design end-to-end data models, build robust data pipelines, and deliver high-quality data products for internal stakeholders.

Requirements & governance: You engage proactively with business owners to analyze needs for data transparency, gather and prioritize reporting requirements, and ensure all solutions are governed, accurate and actionable.
Insights & KPIs: Leveraging BI and process mining, you translate business processes into actionable insights and define KPI frameworks for efficiency, success, and stability.
S/4 migration: As part of our S/4 program, you support the transition from SAP BW 7.5 to SAP BDC / SAP Datasphere and help ensure a smooth go-live.
Digital transformation: Driving a data-driven culture, you align analytics solutions with business objectives in close collaboration with SAP and IT teams.
Stakeholder management: Together with SAP and IT Operations, you manage stakeholder expectations and deliver effective analytics and business solutions.

Your Profile - What do You bring as Business Intelligence Consultant (f/m/d) - SAP BW / SAP Datasphere?

Requirements

Education: You bring a completed degree in Computer Science, (Business) Informatics, Engineering, Data Science, or a comparable field.

SAP expertise: 7+ years in data engineering are paired with strong hands-on SAP BW experience and 1-2 years working with SAP Datasphere (SAP BDC / Datasphere).
Modeling & integration: Strong semantic modeling skills and experience integrating data across SAP and non-SAP environments enable scalable analytics solutions.
BI & process mining: Experience with tools such as Power BI, Tableau, Qlik, and/or Celonis enables you to turn data into actionable insights and meaningful KPI frameworks.
Transformation mindset: Fluent English communication and a proactive, data-driven mindset support digital transformation across SAP and IT.

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