Analytics Engineer Intern

About Digital Pills

At Digital Pills, our mission is to empower businesses with the strategic use of data.

Our clients range from big corporations to elite B2C and B2B players. We also collaborate with foundations and non-profit organisations.

While growing quickly, we're still a small company with a startup-like culture which offers maximum personal freedom and flexibility along with the ability to be agile.

Our Company Values are:

• Vertical Boutique: To compete with established players, vertical specialization is the essential ingredient. For us, this specialization is focused on data, which forms the core of our approach.
• Research and Development (R&D) and Training: We invest 30% of our time in individual training and Research and Development projects. This keeps us constantly updated on the latest trends and technologies, ensuring cutting-edge service for our clients.
• People at the Center: We create a unique and motivating work environment to attract the best talents in the industry. Our corporate culture is geared toward maintaining high levels of quality in every aspect of our work.
• Social Impact on the Community: We are committed to making a positive contribution to the community. We donate 1% of our annual revenue to Pro-bono initiatives, and every member of our team dedicates 40 hours per year to non-profit projects. With our social commitment, we aim to make a difference in people's lives and create a better world.

Joining our team means embracing these values and contributing to our mission of providing data-driven solutions that transform businesses and society.

Job description

Mission

At Digital Pills, we design advanced analytics platforms and data-driven solutions that transform how organizations understand and use data.

As an Analytics Engineer Intern, you will work in the Tech Team focusing on Business Intelligence, semantic data modeling and digital analytics. You will contribute to the design of reporting layers, KPI definitions and dashboards, and to the implementation and validation of tracking systems used to collect high‑quality data.

This role is ideal for technically‑oriented profiles interested in growing at the intersection of analytics engineering, business intelligence and digital tracking, with strong exposure to real‑world data platforms and analytics projects.

Main activities include:

• Build and maintain dashboards and reports using Power BI and other BI tools
• Design and validate semantic data models and KPI layers
• Support the definition and validation of business metrics
• Work on digital analytics and tracking projects (GA4, event‑based tracking, data quality)
• Validate data consistency and correctness across reporting layers
• Collaborate with consultants and analysts to translate business requirements into analytics solutions

Eudcation & experience

Graduated from a Bachelor's or Master's degree in one of the following fields or equivalent practical experience:

• Computer Engineering
• Computer Science

• Management Engineering (data / IT track)

• Strong interest in data, analytics and business intelligence

• Solid analytical and logical thinking skills

Hard Skills (essential)

• SQL and Data Foundations: Basic to intermediate knowledge of SQL, including joins, aggregations and filtering. Ability to reason about data granularity, metrics and consistency.
• Business Intelligence: Familiarity with BI concepts and reporting practices. Experience or academic exposure to building dashboards and reports using Power BI (preferred) or equivalent tools.
• Data Modeling Fundamentals: Understanding of basic dimensional modeling concepts (facts, dimensions, star schema) and interest in building semantic layers for analytics.
• Data Quality & Validation: Ability to validate data correctness, detect inconsistencies and reason about metric definitions and data reliability.

Soft Skills (essential)

• Analytical mindset. Able to reason logically on data, metrics and business questions.
• Attention to detail. Does not let important details slip through the cracks or derail a project.
• Curiosity and learning attitude. Strong willingness to learn new tools, technologies and analytics practices.
• Intelligence. Learns quickly. Demonstrates ability to quickly and proficiently understand and absorb new information.
• Autonomy. Able to manage well‑defined tasks independently and take ownership of assigned activities.
• Communication. Able to clearly explain data, metrics and results to technical and non‑technical stakeholders.
• Teamwork. Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
• Enthusiasm. Exhibits passion and excitement over work. Has a can-do attitude.

Skills (desirable)

• Digital Analytics & Tracking: Interest or basic experience with GA4, event‑based tracking, tagging systems and data collection pipelines.
• Analytics Engineering Practices: Interest in semantic layers, transformation logic and analytics engineering methodologies.
• Programming: Basic knowledge of Python for data analysis or automation tasks.
• Data Platforms: Basic familiarity with data warehouses or cloud analytics platforms.
• Business Understanding: Interest in understanding business processes and translating business requirements into analytics solutions.

What we offer

• Salary: 850€/month
• Paid internship with meal vouchers for in-office days
• Continuous training and development
• Flexible workplace (10 days / month in-office presence is required)

Starting date
: March 2026

Apply here -