Global Senior Data Analyst

We are looking for a Senior Data Analyst to join our dynamic Data Analytics team and collaborate with key stakeholders across CRM, Retail, Brand, E-business, Finance, and Supply Chain. 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.

How you will create a beautiful impact:

• 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.

What you need to have to be our next audacious and creative talent:

• 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 La Prairie, we are committed to supporting your professional and personal well-being through a comprehensive benefits package that includes:

• Health Insurance Contribution: Enjoy a monthly contribution towards your health insurance.
• Generous Leave Policy: Benefit from 25 days of annual leave, plus an additional 8.5 days off (available for HQ employees).
• Exclusive Product Discounts: Access special discounts on La Prairie products and participate in Employee-Only Sales at our exclusive Employee Boutique.
• Skill Development Opportunities: Benefit from unlimited access to La Prairie's "SkillCare" program, tailored to enhance your skills and support your professional growth, along with access to the LinkedIn Learning platform for additional learning resources.
• Mobility Opportunities: Explore internal and international mobility options within the Beiersdorf Group.
• Employee Referral Bonuses: Earn bonuses for referring talented individuals to join our team.

Your journey with La Prairie begins here. Submit your application quickly and easily through our online tool—only applications received this way will be considered. The selection process includes a combination of interviews with HR, the Hiring Manager, and key stakeholders, along with assessments. We look forward to meeting you.

Note to Recruitment Agencies:

We don't accept agency resumes. Please don't forward resumes to our job portal. We're not responsible for any fees related to unsolicited resumes.

At La Prairie we work on creating a diverse & inclusive culture by having a balanced population and an open, safe, trusting and accepting culture. We believe that diversity in our talents is the strength of our House and we are supporting professional equality for everyone. We welcome applicants with and from diverse background.