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.
WHAT IS AFTERSALES & OWNERSHIP
Aftersales & Ownership: We shape end‑to‑end experiences that support customers throughout their ownership journey. Our scope spans key Aftersales domains such as Service, Accident Management, and Parts Trading. As part of Aftersales & Ownership, you’ll collaborate within the global MB.io tribe in a trust‑based, empowered setup. You are encouraged to take ownership, contribute your ideas, and directly influence product outcomes, working in an environment where responsibility, teamwork, and impact go hand in hand.
IN THIS ROLE YOU WILL
Become a member of our cross-functional product and data team and provide the team with analytics data
Take an active part in plannings, sprints, reviews and retros of the product teams
Understand business goals and convert them into data collection requirements
Create implementation concepts and technical analytics specifications
Implement the tracking through the tag manager required for accurate data collection
Be in close alignment with your future data peers to jointly optimize analytics
Make data more reliable & understandable so products can adapt quickly to customer needs and requirements
Build and maintain analytics data models and pipelines, translate complex data into business insights for Revenue Operations, and apply AI and machine learning to predictive analytics and strategic initiatives.
Own and improve finance data models, reporting, and Python pipelines, turning revenue, cost, and management-account data into reliable insights for Finance and leadership.
Connect data engineering and analytics by building reliable data models, consistent metrics, and AI-ready data foundations that help teams access, understand, and use business data independently.
Build and maintain trusted financial data models, pipelines, and BI assets that support daily reconciliation, monitor critical financial processes, and help Finance and Treasury make informed decisions.
Build and maintain dbt models, data quality checks, and BI reporting that support accurate daily reconciliation of financial processes, partnering with engineers, Merchant Finance, and Treasury.
