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Salary
≈ $29k – $67k per year (Estimated)
Location
Hybrid (Porto, Portugal)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 2, 2026. IQVIA scores B on the Alion truth index.

Overview
Company
Impact
Profile match
IQVIA is an American company formed in 2016 by the merger of the contract research organisation Quintiles, founded in 1982, with the pharmaceutical data business IMS Health. It runs clinical trials on behalf of drug and device makers and simultaneously operates one of the largest healthcare data estates in the world, covering prescriptions, claims and electronic medical records, which it sells back to the same industry for commercial planning and real-world evidence studies. Headquartered in Durham, North Carolina and listed on the New York Stock Exchange, it employs close to ninety thousand people and combines the trial and data businesses in what it calls connected intelligence.

Turn data into better healthcare decisions

At IQVIA, we’re looking for a Business Intelligence Consultant with a strong back-end focus to join our Portugal-based team.

You’ll help build robust data solutions and AI-ready semantic models that make trusted business data easier to understand, govern and use across analytics and AI-enabled applications.

Based in Portugal, you’ll be part of our Lisbon team, collaborating with international colleagues and supporting projects for the Belgian healthcare and life sciences market.

If you enjoy turning business needs into reliable data products and want to grow at the intersection of BI, data engineering and AI, we’d love to hear from you.

What you’ll be doing

  • Translate business and data requirements into practical data integration, back-end and semantic modelling solutions.
  • Design, develop and maintain ETL/ELT pipelines, data transformations and curated data layers.
  • Build and evolve dimensional and semantic models, including relationships, hierarchies, measures and reusable business definitions.
  • Help make data AI-ready through consistent terminology, metadata, governance and data lineage.
  • Collaborate with business stakeholders, analysts, data engineers, data scientists and front-end developers.
  • Support data quality, performance optimisation and continuous improvement.
  • Contribute across the project lifecycle, from requirements and design through development, testing and deployment.

What you’ll bring

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data, Business Intelligence or a related field.
  • Typically 3+ years of relevant experience in BI, data engineering, analytics engineering or a similar back-end role.
  • Strong SQL, ETL/ELT and data integration skills.
  • Experience with technologies such as Snowflake, Databricks, Informatica Cloud or SSIS.
  • Understanding of data warehousing, dimensional modelling and Kimball principles.
  • Experience with data and semantic modelling for BI and analytics.
  • Familiarity with APIs and common data exchange formats.
  • Professional proficiency in English.
  • A collaborative, customer-focused and solution-oriented mindset, with curiosity and a strong sense of ownership.

A plus if you have experience with

  • Healthcare, pharmaceuticals or life sciences
  • Power BI semantic models, Analysis Services, dbt Semantic Layer, AtScale or similar technologies
  • Metadata, data catalogues, lineage, governance or knowledge graphs
  • AI-related concepts such as LLMs, RAG or vector search in enterprise analytics
  • Power BI, Qlik Sense or QlikView
  • Cloud data architectures, Agile, version control or CI/CD
  • Veeva or other life sciences platforms

Why join IQVIA?

  • Meaningful work: contribute to data solutions in an industry that directly impacts patients and society.
  • Grow your expertise: develop your skills across BI, data engineering, consulting and AI.
  • International exposure: work from Portugal while collaborating on projects for the Belgian market.
  • Great people: join a supportive, knowledgeable and collaborative team.
  • Flexibility: benefit from a hybrid working model.
  • Interesting challenges: work with leading healthcare and life sciences organisations.

Ready to make an impact?

If you’re passionate about data and want to build your career at the intersection of Business Intelligence, semantic modelling and AI, we’d like to meet you.

Apply and help us turn trusted data into better healthcare decisions.

IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com.

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic selves and their diverse experiences to work, they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes. Likewise, as part of this culture, IQVIA is committed to ensuring effective equality between women and men, integrating it as a strategic principle in its corporate and human resources policies.

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