Senior Data Analyst (Power BI)

Your Tasks

We are looking for a Senior Data Analyst to join our dynamic Data Analytics team of La Prairie (Beiersdorf Group) and collaborate with key stakeholders across CRM, Retail, Brand, E-business, Finance and Supply Chain. The role will be located in our HUB in Poznań, Poland and reporting functionally to La Prairie HQ in Zürich. In this role, you will transform data into actionable insights that drive strategic decisions and create measurable impact across the organization.

You will also play a pivotal role in promoting a data-driven culture and participating in a strategic project to replatform our data technology, ensuring our analytics capabilities are future-ready and scalable.

What You’ll Do

• Design and maintain Power BI solutions: Build datasets, star-schema models, DAX measures, and dashboards; ensure workspace governance and standards.
• Deliver impactful ad‑hoc analysis: Translate business questions into clear queries, actionable insights, and strategic recommendations.
• Partner with global stakeholders: Prioritize requests, align KPIs and definitions, and present findings to senior leadership.
• Enhance data quality and semantics: Improve transformation layers, maintain KPI definitions, and ensure consistency across reporting.
• Automate and optimize: Streamline recurring analyses and documentation for efficiency.
• Run advanced analytics: Apply techniques like marketing effectiveness, cohort analysis, and segmentation to deliver business impact.
• Enable self‑service analytics: Empower teams to leverage data models and extract insights independently.
• Champion a data‑driven mindset: Advocate for analytics adoption and educate stakeholders on the value of data in decision‑making.
• Contribute to data technology replatforming: Collaborate on a global initiative to modernize our data infrastructure and unlock next‑generation analytics capabilities.
  
  

Your Profile

• Experience: 5+ years in business analytics or BI, with proven expertise in Power BI.
• Technical Mastery:
• Advanced SQL (BigQuery a plus), strong DAX and data modeling skills.
• Python for advanced analytics preferred.
• Familiarity with GCP or Azure, Databricks, and Git.
• Knowledge of QlikView is a plus.
• Communication: Exceptional data storytelling and stakeholder engagement skills.
• Expertise Skills:
• Power BI Development: Building robust dashboards, models, and measures.
• Data Engineering & Modeling: Star‑schema design, semantic layer optimization.
• Advanced Analytics: Cohort analysis, segmentation, marketing effectiveness.
• Programming & Cloud: SQL, Python, GCP/Azure, Databricks.
• Automation: Streamlining workflows and recurring processes.
• QlikView: Familiarity considered an advantage.
• Leadership Skills:
• Strategic Influence: Translate complex data into actionable insights for senior decision‑makers.
• Stakeholder Management: Build strong partnerships across global teams and functions.
• Prioritization & Alignment: Balance competing requests and ensure KPI consistency.
• Data Evangelism: Promote self‑service analytics and foster a data‑driven culture across the organization.
• Change Leadership: Drive adoption and engagement during the data technology replatforming project.
• Presentation Excellence: Deliver compelling narratives that inspire action.
  

At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.

Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.