Digital Analyst Sales (f/m/x)
Mercedes-Benz.io GmbH · Hybrid, Lisboa, Portugal
Checked against recruitee — still accepting applications.
- Location
- Hybrid, Lisboa, Portugal
- Type
- Full-time
- Posted
HEY THERE!
We are [Mercedes-Benz.io](http://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](http://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 SALES
Sales shapes the end-to-end digital journey that turns interest into sales. As the digital vehicle showroom of Mercedes-Benz, we create seamless experiences across key products such as Product Information Pages, the Car Configurator, and online vehicle stores. With a strong focus on customer experience, we continuously innovate how customers explore, configure, and purchase Mercedes-Benz vehicles.
IN THIS ROLE YOU WILL
- Analyze customer behavior across digital platforms and turn data into actionable insights.
- Build and optimize dashboards and reports using Power BI.
- Design, execute, and evaluate A/B tests and personalization initiatives.
- Partner with stakeholders to define KPIs, measure performance, and identify optimization opportunities.
- Explore large datasets using SQL to uncover trends, opportunities, and business insights.
- Ensure data quality and reporting reliability across analytics processes.
- Translate complex findings into clear recommendations that support product and business decisions.
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