Data Analyst
Spain, Catalonia, Sant Cugat del Vallès Avinguda de la Generalitat 163-167, Pharmaceutical, Engineering
| Work location: | Spain, Catalonia, Sant Cugat del VallèsAvinguda de la Generalitat 163-167 |
|---|---|
| Sector: | Pharmaceutical |
| Role: | Engineering |
| Branch: | URIACH |
| Date of last update: | 14/05/2026 2026-08-14 |
Job description
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About Us
With over 185 years of history, we are a leading health and wellness company. Our portfolio includes iconic brands such as Aquilea, Fisiocrem, Laborest, Sidroga, Biodramina, Aerored, Fave de Fuca, Halibut, Ems, and Depuralina, with a strong presence across major European markets.
We believe in the power of nature, enhanced by science, as the best way to improve human health and wellbeing sustainably. Our goal is to create a positive impact on both people's lives and the planet. We are currently seeking a highly motivated and skilled Data Analyst to join our team.
Your Mission
We are currently looking to strengthen our Data team by appointing a Data Analyst who will play a key role in designing and delivering scalable, high-quality reporting solutions across the organization. As part of the Data Department, you will work cross-functionally with business stakeholders and Data Engineering, acting as a trusted partner between data and decision-making. You will lead end-to-end analytics projects, drive best practices, and contribute to the continuous evolution of our data platform while mentoring more junior team members.
Key Responsibilities
In this role, you will be expected to:
- Lead end-to-end reporting projects autonomously, from requirements gathering and data modeling to development, validation, and deployment in Power BI
- Design and maintain optimized semantic data models (e.g., star schema, reusable DAX measures) to support multiple business use cases
- Act as an analytical business partner, proactively identifying insights, KPIs, and opportunities beyond initial stakeholder requests
- Ensure data quality, consistency, and performance of dashboards, troubleshooting and optimizing complex models when needed
- Collaborate closely with Data Engineering teams to define and improve data models and architectures aligned with reporting needs
- Drive reporting automation, documentation standards, and support/mentor business users and junior analysts in dashboard usage and best practices
View details
| Type of contract: | Permanent job |
| Career level: | Employee |
Skills required
You'll excel if you have...
- 3–5 years of experience in Data Analyst, BI Analyst, or similar roles, with at least 2 years of hands-on experience working intensively with Power BI in production environments
- Advanced expertise in Power BI, including semantic modeling, intermediate-advanced DAX (time intelligence, filter context, CALCULATE, variables), Power Query (M), and performance optimization
- Strong SQL skills (complex queries with multiple joins, CTEs, window functions, subqueries, and advanced aggregations), combined with solid knowledge of dimensional data modeling (star schema, SCDs, granularity)
- Experience designing reports for different audiences (operational to executive), applying best practices in data visualization and storytelling
- Strong ownership and autonomy, with the ability to lead projects end-to-end, manage multiple priorities, and ensure high-quality outputs with rigorous attention to detail
- Excellent communication and stakeholder management skills, with the ability to challenge requirements and translate business needs into scalable analytical solutions
- A proactive, curious, and improvement-driven mindset, with experience mentoring junior profiles and collaborating across technical and non-technical teams
- Familiarity with cloud data platforms (e.g., Azure, Microsoft Fabric, Databricks), Medallion architectures (Bronze/Silver/Gold), version control (Git), or DataOps practices is a plus
- Experience with other BI tools (Tableau, Looker, Qlik), systems such as SAP/Salesforce/Odoo, or programming in Python for data analysis is considered an advantage
- Bachelor's degree in Engineering, Statistics, Mathematics, Business Administration, Economics, or equivalent; relevant certifications (e.g., PL-300, DP-600) are a plus
- Fluent English (minimum B2 spoken) and Spanish, additional languages are a plus
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