Data Analytics Engineer

We produce globally recognized brands and grow business leaders in the industry. We serve consumers worldwide with a diverse portfolio of trusted brands including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax®, among others. Our community includes operations in approximately 70 countries worldwide.

• Several years of hands-on experience delivering end-to-end Power BI solutions in complex business environments.
• Expert knowledge of Power BI, including Power Query, DAX, TMDL format, Field Parameters, and Calculation Groups.
• Strong data modeling skills with dimensional/star schemas and solid SQL experience.
• Proven experience working with Git and CI/CD for BI/reporting solutions.
• Experience collaborating with data engineers and operations/SRE teams on SLAs, monitoring, and validation.
• Strong communication skills for challenging, refining, and documenting business requirements clearly.
• Comfortable working in Agile/Scrum teams.

Nice to have:

• Experience with broader Power Platform (Power Apps, Power Automate).
• Knowledge of data warehousing, BI architecture, and governance.
• Experience in large, international organizations.
• Relevant Microsoft certifications (PL-300, etc.).
• Data modeling, warehousing, and experience with ETL/ELT data integration tools.

• Collaborate with business stakeholders to clarify requirements and translate them into report designs, KPIs, and user stories.
• Design and build enterprise-grade Power BI reports and dashboards aligned with internal UX/design standards.
• Define the semantic layer: translate business needs into measures, calculations, and dimensional models, and validate data models.
• Work with data engineers to translate semantic/model requirements into source data structures, pipelines, and transformations.
• Collaborate with Operations to define SLAs, monitoring, and validation points including data quality checks and alerting.
• Develop complex DAX measures, calculation logic, and row-/object-level security to ensure accuracy and performance.
• Optimize dataset and report performance through model design, aggregations, indexing, partitioning, incremental refresh, and query tuning.
• Use Git-based workflows and CI/CD pipelines to version, test, and deploy Power BI assets.
• Contribute to and enforce standards such as modeling conventions, naming, folder structures, documentation, and governance.
• Actively participate as a Scrum team member during refinement, planning, reviews, and retrospectives, supporting rollout and adoption.

Employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.