
EMEA Lead Commercial Analyst
- Amsterdam, Noord-Holland
- Vast
- Voltijds
- Translate divisional stakeholder requirements to potential data analytics solutions independently.
- Build and improve SQL queries, Power BI dashboards and process automation that will gear the reporting and insights capabilities.
- Develop and process new data streams / pipelines, implement new processes and tools to enable standardized sales KPI reporting by geographies, products, customers, and sales reps.
- Work closely with cross-functional teams, including sales operation analyst and BI analyst to support monthly and year end process.
- Lead end to end data analytics project for your divisions, from problem and requirements definition to code validation and deployment.
- Develop and maintain scalable and efficient data capabilities (incl. external data sources)
- Work with the Divisional leadership teams to ensure performance reporting, KPIs and analysis reflect the business objectives.
- Responsible for building org capability in data driven target setting.
- Participate in cross-functional European or Global projects.
- Deliver actionable insights, KPIs, dashboards for supporting the respective VPGM and the team. Take part in initiatives to drive governance of master data.
- Analyze Stryker and external data incl. indicator market share data. Report on market share trends leveraging industry Association data and scalable analytical data models.
- At least 4 years’ related experience in a multicultural environment
- Fluent English - A key part of this role will be to work with international stakeholders across the world.
- Bachelors Degree in Computer Science, Data Analytics, Business Analytics, Data Science, Computer Information Systems, or similar technical degree preferred
- 4+ years of work experience required
- Knowledge of an additional EU language is a plus.
- Master's or higher degree in a related discipline preferred
- Effective communication skills, able to present complex data sets to senior sales management, influencing without authority
- Skilled in data transformation and cleansing and relational database and data modeling concepts
- Skilled in data governance concepts including the need for documented definitions, calculations, sources, lineage, etc.
- Experience leading end-to-end data analytics projects: from problem and requirements definition to code/model validation and deployment
- Data governance concepts including the need for documented definitions, calculations, sources, lineage, etc.
- Experienced with Azure, Power BI, Microsoft Fabric
- Experienced in at least two programming language central to data analytics (SQL, Python, DAX)
- Nice to have: Power Apps knowledge, Microsoft certifications