Digital Analyst (f/m/x)

HEY THERE!
We are Mercedes-Benz.io. Our mission is to ignite and build digital solutions for Mercedes-Benz by bringing together a tribe of digital enthusiasts who drive the digital future of mobility.

We believe flexibility and collaboration go hand in hand. With offices in Lisbon and Braga, we offer a flexible hybrid setup, with an average of one day per week in the office. This allows for meaningful in-person collaboration while maintaining the flexibility to work in a way that best supports you and your team.

We do not care about your shoes, as long as you bring the right attitude. At Mercedes-Benz.io we walk the talk and make things happen. We do not digitise for the sake of being digital, but to create real value. We reflect, challenge the status quo, and stand up for each other. This is why we hire people who want to make an impact.

ABOUT THE TEAM

As a Digital Analyst in the Retail team, you will play a key role in shaping the data foundation behind our digital retail platforms. You will be responsible for enabling data-driven decisions across dealer websites and customer journeys, supporting both internal teams and retailers with actionable insights.

IN THIS ROLE YOU WILL

• Act as a trusted advisor by shaping data strategy, defining tracking needs and delivering insights for decision making.

• Manage the full analytical workflow from exploring and preparing data to analysing, validating and visualising findings.

• Work autonomously with the analytics stack such as Power BI, Google Analytics and Databricks.

• Define business KPIs and measurement frameworks with stakeholders.

• Analyse product data to understand user behaviour and optimize customer journeys.

• Build dashboards, deliver KPI reporting and present insights to product teams and stakeholders.

• Partner with Customer Insights to connect qualitative and quantitative learnings.

TO SUCCEED YOU NEED

• Experience in digital analytics including event or session level tracking, user flows and product behavior analysis.

• Experience with data visualization tools like Power BI.

• Working knowledge of Python or PySpark or Pandas.

• Strong SQL skills for raw data exploration, complex queries and large datasets.

• Strong communication and presentation skills.

• Ability to work autonomously, manage priorities and deal with ambiguity.

THERE WILL BE BIG SMILES IF YOU

• Worked with GA4 data.

• Understand dataLayer, tracking setup and validation.

• Know ETL basics and data quality principles.

• Can optimize queries and aggregations for large datasets.

• Have hands on experience with machine learning methods.

• Are comfortable applying practical statistics, including before/after comparisons, assumption checks, and significance testing.

• Feel confident working with A/B tests, from defining and setting them up to analyzing results and understanding variability and limitations.

YOU WILL BE HAPPY WITH

• Open source software

• No top‑down hierarchy. We trust in your self‑organization

• Colleagues who are smart, driven, and collaborative

• An open‑minded and informal culture backed by a global brand

• Life insurance

• Proactive self‑development through international trainings and conferences

• Brand Connection perks

• Much more cool stuff

THIS IS WHAT OUR PROCESS LOOKS LIKE

1. Screening Call with our recruiter

2. Technical Challenge

3. Technical Interview

4. Team Interview

5. Culture Interview

WHAT YOU'LL NEED TO KNOW ABOUT US

Mercedes-Benz.io develops software and technology for the digital platforms of Mercedes-Benz. Our main products are the Mercedes-Benz Website worldwide, the e-commerce platform, digital services and aftersales solutions. 

We have a fantastic team with people from all over the world. We encourage frequent collaboration and pairing across disciplines. English is the main working language. 

Mercedes-Benz.io is an equal opportunities employer. We believe that diverse experiences and a broad collective perspective lead to a better company culture and better products. 

Please send your resumé in English and PDF.