Team Lead Data Analytics & Business Intelligence (f/m/d)

For over 80 years, at ERBACHER the food family we have been developing innovative solutions in animal nutrition for livestock and pets, as well as producing high-quality food, made possible by the dedication of our teams in Germany, Ukraine, Tanzania, and Poland. Step by step, we turn ideas into innovations that have a real impact on everyday life, and every project is based on collaboration, mutual respect, and commitment.

About the role

We are looking for a Team Lead Data Analytics & Business Intelligence to lead our data team and drive the execution of our data strategy. This role combines people leadership with hands-on technical involvement and reports directly to the Head of Data and Platforms. You will lead a team of four to five people (including external contributors) and work in a strongly cross-functional setup, partnering closely with stakeholders across the business—actively shaping how data-driven decision-making becomes the norm at our company.

Responsibilities

• Disciplinary and functional leadership of a team consisting of data analysts, a data scientist, and external developers.
• Driving the ongoing development and execution of our data strategy—from a current-state assessment to a multi-year strategy.
• Translating business priorities into concrete, measurable analytics use cases and data-driven decision foundations.
• Driving the shift from descriptive to predictive and forward-looking analytics across the entire organization.
• Expanding and maintaining our data platform, built on Databricks as our central data warehouse, with data ingestion via Fivetran and transformation via dbt.
• Leading the development of our Power BI reporting landscape, including data models and KPI standardization.
• Connecting internal and external data sources into the platform, including SAP data (e.g. S/4HANA and modules such as Ariba or SuccessFactors), working closely with our Infrastructure team.
• Actively promoting a data-driven culture across the company, including the ongoing development of our Data Catalog and our Data Mesh approach with clearly defined Data Owners.
• Helping to shape the platform's readiness for future needs such as real-time/streaming data, Machine Learning, AI-driven analytics, and self-service BI.

Requirements

• Several years of experience in Data Analytics, BI, or Data Engineering, at a mid-to-senior level.
• Proven experience leading technical teams, including people management responsibility.
• Experience working in mid-sized or internationally structured companies.
• Familiarity with data governance concepts such as Data Catalogs, Data Ownership, and Data Mesh.
• Strong SQL skills.
• Hands-on experience with Databricks as a data warehouse / lakehouse platform.
• Experience with data integration and transformation tools such as Fivetran and dbt.
• Experience with Power BI, including data modeling.
• Good English skills.

Nice to have

• Experience with SAP data integration (e.g. SAP S/4HANA) or knowledge of SAP Business Data Cloud.
• Familiarity with real-time/streaming data architectures (e.g. Kafka or comparable technologies), Machine Learning, or AI-driven analytics.

Benefits

• Holiday and Christmas bonus
• Children's packages and occasional gifts
• Flexible work arrangements—this is a hybrid role with a high remote share. We value regular in-person collaboration, so occasional on-site days are part of the role at our locations in Kleinheubach (Germany) and Nowy Tomyśl or Poznań (Poland).
• Attractive discounts on products (dry dog and cat food)
• LUX MED private medical care
• Group insurance and accident insurance
• Free foreign language learning
• MultiSport card
• Fresh vegetables and fruits in the office
• Work (and team-building) in an international environment, alongside experts from Poland, Germany, Tanzania, and Ukraine
• Continuous professional and personal development through dedicated training sessions and development programs
• An inspiring and supportive atmosphere, as well as friendly working conditions with access to modern tools and technologies