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(Senior) Analytics Solutions Engineer

Continental·Worldwide·Lousado, PT·senior
data engineeringpower bi
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Continental is a leading tire manufacturer and industry specialist that develops and produces sustainable, safe and convenient solutions for automotive manufacturers as well as industrial and end customers worldwide. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets. As a (Senior) Analytics Solutions Engineer, you will take end-to-end ownership of business-critical analytics solutions that support decision-making across Product Management, Sales, and Strategy in EMEA (Strategy, Analytics and Marketing). This role focuses on the design, development, and continuous enhancement of Power BI applications that translate complex data into actionable insights with measurable business impact. You will work closely with business stakeholders to understand key challenges and ensure that analytical solutions address real decision-making needs. In parallel, you will act as a central interface to Data Engineering and IT, ensuring that requirements are translated into scalable and sustainable data solutions. You will own and further develop already existing tools as technical key user with a strong focus on performance, usability, quality and active user management. Your work will directly influence strategic decisions, uncover growth opportunities, and contribute to tangible business value across the organization. Your main responsibilities: Own and further develop Power BI applications and dashboard ecosystems; Design analytics solutions that enable business decision-making beyond standard reporting; Gather, translate and formalize business requirements into scalable technical solutions and user stories; Independently acquire, integrate, transform and model data for Power BI solutions from multiple enterprise sources; Build and maintain a consistent single source of truth across business-critical datasets; Collaborate with Data Engineering to identify data gaps and enable integration of ad

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