Data & Analytics Manager
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Oct 30, 2026. Rafarm scores B on the Alion truth index.
About the company
RAFARM is an innovation-driven, dynamically growing pharmaceutical company and a well-established European manufacturer with an outward-looking orientation that invests 13% of net turnover in Research and Development. We introduce high technology in our state-of-the-art sterile manufacturing plant and create new production lines with cutting-edge technology and robotic equipment. RAFARM is a place where our people evolve and are full of passion and interests. We are a dynamic team that empowers talent, embraces diversity and accelerates development.
About the role
We are looking for a Data & Analytics Manager to help shape our enterprise data strategy and architecture from the ground up, creating the foundations for improved reporting, analytics, automation and data-driven decision-making. You will have significant influence over how data is structured, governed and consumed, while working closely with teams across the business to turn enterprise data into a trusted and valuable organizational asset.
Key Responsibilities
- Lead, develop and support the Data & Analytics team, setting priorities, allocating work and building the technical capabilities required to deliver the organization’s data strategy.
- Lead the design, development and deployment of the enterprise data warehouse and data platform, including scalable data models optimized for analytics and reporting.
- Build and maintain robust ETL/ELT pipelines to integrate data from SAP and other business systems across the organization.
- Establish strong data quality, governance and security controls to ensure enterprise data is accurate, trusted and appropriately protected.
- Work closely with business stakeholders, analysts and Application Owners to translate business needs into technical solutions and understand source-system structures, APIs and dependencies.
- Monitor and optimize data pipelines and platform performance, while maintaining clear documentation of data models, definitions and transformation logic to support self-service analytics.
Requirements
- Minimum 7 years of professional experience, ideally within a manufacturing or pharmaceutical environment.
- Previous experience leading or managing a data, analytics or engineering team, with the ability to coach team members and coordinate delivery across multiple initiatives.
- Strong experience in data engineering, data warehousing or data platform development.
- Experience designing and implementing ETL/ELT pipelines and data integration solutions.
- Good understanding of dimensional modelling, relational databases and modern data architecture principles.
- Strong SQL skills and practical experience working with enterprise data.
- Experience with modern cloud data platforms, preferably within the Microsoft Azure ecosystem.
- Experience with data visualization and analytics platforms such as Power BI, with a good understanding of downstream reporting and analytical requirements
- An understanding of data governance, data quality, security and access-control principles.
- The ability to translate business requirements into practical and maintainable technical solutions.
- Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
- Experience working in the pharmaceutical, life sciences or another regulated GxP environment would be a significant advantage.
- Experience working with SAP data, including an understanding of SAP data structures and integration approaches is highly desirable.
Benefits
- Competitive Compensation
- Private Health Insurance
- Career Development Opportunities
- Work-Life Balance
- Company Bus
- Innovative Work Environment
- Community Engagement
- Recognition and Rewards