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Data Analytics & BI Trainee

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Remote

Data Analytics & BI Trainee

HTBA (HealthTech Bio Actives)

Data Analytics & BI Trainee

Skills

Data VisualizationData AnalysisSAP ERPSAP Analytics CloudPower BI

16 days ago

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Important information


Contract type:

Internship

Location:

Barcelona, Spain

Work mode:

Remote

Published on:

8 October 2026

What they need


Who we are?

At HTBA, we're more than just a global leader in natural, high-value ingredients , we're pioneers in creating solutions, not just selling products.

With over 40 years of expertise , we're looking for enthusiastic self-starters who are eager to jump on board with our dynamic growth and transformative journey. We’re not just setting goals, we’re surpassing them.

We offer a role within a trust-based culture that values authenticity and collaborative spirit . You'll work with international teams, thrive in a stable and supportive environment, and enjoy a work-life balance that truly values your well-being.

Our unwavering commitment to creating a workplace where mutual trust makes us different. We mean what we say, and we deliver on our promises. At HTBA, we’re passionate about our work and we genuinely care about each other and the world around us.

Are you ready to be unstoppable?

The role:

We're looking for a Data Analytics & BI Trainee to support key strategic projects in a dynamic team. You'll work on data management, integration, and analysis , ensuring data quality and governance. Your role includes resolving reporting/database issues, automating reports, and implementing ETL processes .

You'll also collaborate with multidisciplinary teams to enhance data infrastructure, explore new technologies, and optimize tools like Power BI, SAP BW, and SAP Analytics Cloud .

Key Responsibilities:

  • Data management and quality : you will work together to ensure the accuracy, integrity and cleanliness of the data, its proper management and alignment with global standards for its correct analysis and consumption.
  • Implementation of analysis and reporting processes : you will provide support in the design and automation of reports and dashboards (Power BI, SAC) as well as in the maintenance of data assets generated.
  • Resolution of incidents : diagnosis of problems in queries, databases and analytical tools to ensure the quality and consistency of reporting.
  • Data integration and transformation (ETL): you will participate in ETL process implementation and maintenance initiatives to integrate data from various sources, collaborating with development teams to maintain data governance.
  • Collaboration and continuous learning: you will participate in multidisciplinary teams (internal and external) to explore new technologies, document processes and facilitate the use of data within the company by promoting the use of data solutions.

Requirements:

  • Third/fourth year undergraduate student in a quantitative discipline (Information Systems, Business Analytics, Data Analytics or related) or Master’s degree student in the above areas.
  • Academic projects or internships in data analysis and visualization
  • Knowledge of data visualization tools (Power BI, SAP Analytics Cloud) and data storage & management tools (SAP BW)
  • Knowledge of SAP ERP is a plus
  • Ability to sign a university internship agreement for at least 6 months.
  • Intermediate to advanced Spanish and English (B2).
  • Full-time or Part-Time, depending on your availability.

Competences:

  • Willingness to learn in an agile and collaborative environment
  • Analytical skills and attention to detail
  • Ability to communicate complex ideas in a simple way.

Values:

  • We are Agile
  • We are audacious
  • We innovate
  • We succeed together
  • We enjoy what we do

What we offer you:

  • 👥 A great team
  • 📅 Full-time internship with flexible hours: Monday to Thursday, between 8:00-9:00 AM and 5:00-6:00 PM, and Fridays from 9:00 AM to 2:30 PM (based on internship agreement).
  • 🏡 Work model: Primarily on-site with the option to work remotely one day per week.
  • 💰 Paid internship

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