Analytics & Data Manager OPEX EUNA ( All genders)

Beiersdorf

Beiersdorf

Hamburg, Germany
Posted on Feb 13, 2026

Job Details

Contract Type:
Unlimited / Full-Time
Country / City:
Germany / Hamburg
Company:
Beiersdorf AG
Job Function:
Sales

Your Tasks

Role purpose

The Analytics & Data Manager OPEX EUNA plays a pivotal role in accelerating Net Sales and Gross Profit growth across Europe by professionalizing and scaling the OPEX (Operational Growth Excellence) program. Embedded within the regional Sales & Commercial Excellence organization and acting as a driving force in the Commercial Analytics & Data team, this role ensures that markets operate with a consistent, fact-based, and digitalized approach to commercial decision making.

Your Tasks

Data procurement

  • Ensure streamlined data procurement processes with procurement across all CCUs to enable consistency, efficiency, and timely availability of critical data
  • Drive continuously the further development of reports, data analytics and business intelligence solutions to the OPEX stakeholders (central & local organizations)
  • Lead the project and capacity planning and pro-actively identify any roadblocks in terms of analytical capacity, data procurement and data quality & solve these timely

Data quality management

  • Ensure OPEX & commercial data quality & data governance (data pipelines, data provision and data refitting into internal systems)
  • Work with internal teams to continuously improve data collection, data quality, reporting processes and the tools used to support the OPEX program

Team enablement & x-functional thought leadership

  • Provide guidance, mentorship and thought leadership to Data & Insight Analysts
  • Provide thought leadership on new commercial qualification fields for the Data & Insight team & EUNA Commercial Teams (e.g. Data Science and AI for business)
  • Build strong relationships with Sales, Marketing, Finance, and IT to ensure product relevance and adoption

Strategic leadership and product ownership

  • Act as Business Product Owner for the OPEX Inhouse analytical product (OPEX Suite, consisting of OPEX Engine and OPEX PBI)
  • Lead the product development of the OPEX Suite inc. backlog management, sprint planning & review & retro, stakeholder alignment in close alignment with Technical Product Owner (IT)
  • Lead the bug triage and resolution processes, inc. testing and deployment planning in collaboration with it (lead developer and Technical Product Owner)
  • Foster collaboration for new digital product ideations; Identify opportunities for automation, advanced analytics, and AI integration for Commercial functions in EUNA (Sales, Marketing, S&CM, Finance)
  • Drive commercial digital transformation by promoting adoption and identifying opportunities for increased automation and digitization
  • Lead ext. technology scouting for analytics & data and lead the partner management to increase Sales effectiveness for EUNA

Your Profile

  • 8-12 years' experience in commercial analytics, data management, or product ownership roles
  • Solid leadership experience in mentoring and enabling distributed analytics teams
  • International experience, leading complex projects and programs on regional or global level with x-functional team leadership experience and influencing in a matrix
  • Experience in leading cross-functional initiatives involving Sales, Marketing, Finance, and IT • Broad experience in FMCG with track record of delivering solutions in analytics, data & technology • Solid operational commercial experience, especially in Sales (assortment optimization, price/promo optimization, distribution optimization)
  • Strong experience in embedding analytical & reporting tools; first knowledge in driving AI-based data cleansing, data enrichment and analytics & insight generation
  • Familiarity with Generative AI tools and their applications to enhance productivity, automate workflows, and support innovation in analytics and reporting
  • Exposure to data governance frameworks & integration of external data sources (e.g., retailer data)
  • Strong experience in using Power BI/Tableau; Phyton, SQL, and statistical modeling is a plus
  • High level of drive to get things done with a strong pro-active attitude

Additional information

If you have any questions, please contact our recruiter Piwe Mnyakama every Friday between 10:00 and 12:00 am via the telephone number +49 40 4909 6057 .