Job
- Level
- Lead
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Wels
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will build a modern Data and BI department, lead an agile team, define a data platform on Microsoft or AWS, and implement data governance and advanced analytics projects.
Job Technologies
Your role in the team
- In your role as Lead Data & Business Intelligence, you are responsible for and shape the establishment as well as the development of a company-wide Data & BI department that covers both Business Intelligence and Advanced Analytics methods (Analytics Engineering, BI Development, Data Science).
- You report directly to the Director of IT & Data, lead your team in an agile and goal-oriented manner, and focus on empowerment rather than micromanagement.
- Your storytelling helps you to substantiate decisions with data and collaboratively derive impactful measures with the specialist departments.
- You keep an eye on the details without losing sight of the big picture.
- Build & Lead Department: Hiring, Coaching, Operating Model, Roadmap, OKRs/KPIs, and Clear Roles (Analytics Engineering, BI, Data Science).
- Target Architecture & Platform: Definition and implementation of a modern data/analytics platform on Microsoft Fabric (OneLake, Data Factory, Synapse, Power BI) or AWS (S3/Lake Formation, Glue, Redshift/Athena) including dbt, CI/CD, and Infrastructure as Code.
- Data Governance & Mesh: Introduction of policies, ownership & domain data products, data catalog & lineage (e.g., Purview/Glue Catalog), data quality & observability; compliance with GDPR/DSGVO, ISO 27001, SOX.
- Key Figures Framework & Self-Service BI: Unified KPI definitions, semantic layer, and self-service for business units; Enablement & Governance (focus on Power BI, optional Tableau).
- Advanced Analytics Use Cases: Identification and Implementation (e.g., Forecasting, Recommendations, Anomaly Detection) including MLOps processes on Fabric/AWS stack.
- Budget, Vendor & Licenses: Management of the tool stack (ETL/ELT, SaaS), license management, and partner coordination.
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Our expectations of you
Qualifications
- In-depth expertise in modern cloud data stacks: Microsoft Fabric or AWS (e.g., OneLake/S3, Data Factory/Glue, Synapse/Redshift/Athena), SQL & Python, CI/CD for data (Git, Pipelines), and IaC (e.g., Terraform/CloudFormation).
- Deep expertise in Data Governance, Data Mesh, Security & Privacy: role/permission concepts, data quality/observability, catalog & lineage, compliance (GDPR, DSGVO, ISO 27001, SOX).
- Strong communication & storytelling, convincing stakeholder management, and leadership without micromanagement.
- Very good German and English skills.
Experience
- Experience in building and leading Data/BI teams or departments in an enterprise environment.
- BI & Advanced Analytics Competence: KPI Design, semantic models, self-service enablement (Power BI), practical experience with analytical methods and MLOps.
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Benefits
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Reploid Group AG
Reploid Group AG focuses on breeding the black soldier fly and offers alternative solutions for conventional disposal and production of secondary raw materials.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production