Analytics Engineer (f/m/x)
About The Position
Mercedes-Benz.io is hiring an Analytics Engineer to join a cross-functional product and data team in Aftersales & Ownership. The team shapes end-to-end experiences for customers throughout vehicle ownership, including Service, Accident Management, and Parts Trading. In a collaborative, empowered global setup, the Analytics Engineer will provide analytics data, help the team understand customer needs, and make product data reliable and understandable so teams can adapt quickly. The role involves participating in product-team planning, sprints, reviews, and retrospectives; translating business goals into data-collection requirements; creating implementation concepts and technical analytics specifications; and implementing tracking through tag managers. The Analytics Engineer will also work closely with data peers to optimize analytics. The position follows a flexible hybrid model, averaging one office day per week, with offices in Lisbon and Braga.
Requirements
- Completed studies, ideally focused on business, informatics, information technologies, digital marketing, or media management.
- Knowledge of data and analytics tools such as Google Analytics, Adobe Analytics, and tag managers such as GTM or Launch.
- Skills in developing tracking concepts, solution designs, and implementation instructions.
- Technical tracking implementation skills for collecting reliable web data.
- Experience with JavaScript, HTML, and CSS.
- Experience with repository versioning systems such as GitHub.
- Ability to understand business goals and translate them into data-collection requirements.
- Stakeholder-management experience spanning technical and business stakeholders.
- Excellent English communication skills.
Nice To Haves
- Know-how in customer journey optimization, funnel or conversion optimization, and A/B testing.
- Experience with server-side tag-management technologies such as SGTM.
- Technical tracking implementation skills for collecting reliable mobile data.
- A hypothesis- and data-driven attitude.
- Experience with APIs, Python, Node.js, and SQL.
Responsibilities
- Provide analytics data to a cross-functional product and data team.
- Participate in product-team planning, sprints, reviews, and retrospectives.
- Understand business goals and translate them into data-collection requirements.
- Create implementation concepts and technical analytics specifications.
- Implement tracking through tag managers to support accurate data collection.
- Align closely with data peers to optimize analytics.
- Make data more reliable and understandable so products can adapt quickly to customer needs and requirements.
Benefits
- Flexible hybrid work model.
- Open-source software.
- Self-organization in an environment without a top-down hierarchy.
- Smart, driven, and collaborative colleagues.
- Open-minded and informal culture backed by a global brand.
- Health insurance and life insurance.
- Proactive self-development through international trainings and conferences.
- Brand Connection perks.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
