Data Analyst for automotive

Shaping the Future of Automotive Engineering Applus+ IDIADA is a global leader in automotive engineering, offering a dynamic and rewarding career opportunity for professionals passionate about shaping the future of mobility. As a TOP Employer certified company with over 3000 professionals from more than 22 countries, we provide a diverse and inclusive work environment that fosters innovation and growth with colleagues from over 57 nationalities contributing to a safer, more efficient, and sustainable vehicles. Why join us? Enjoy a highly flexible hybrid work model in a company that takes care of the employees’ wellbeing, offering work-life balance benefits such as subsidized canteen, free language courses, transport and coaching services. Join a company that has a deep commitment to sustainability and push yourself to reach your full potential in a dynamic and challenging setting that values innovation and expertise. Come & join us on the road to success. #LI-Hybrid Digital Solutions team works to develop the most promising systems and applications for the IDIADA group and their clients, focusing on the continuous improvement of engineering processes and the exploitation of data and information. The team leverages on the most valued aspects of the company DNA; innovation and customer-orientation, to investigate on the technological trends and bring the value to the wide variety of toolchains being applied in the automotive and mobility sector. What can we offer you? Join a young dynamic and multicultural team of 90 Software Engineers. Work closely to automotive and mobility experts to improve their daily activities. Collaborate with a highly passionate team, committed to achieve high standards Work in an agile environment with Scrum, code review, retrospective meetings and constant innovation Participate in the design, implementation and validation of apps and tools for the automotive industry. Be part of a large growing organization. What are we are looking for? We are looking for a Data Analyst to support the PMO team in monitoring and improving the performance of projects through data-driven insights. In this role, you will act as a bridge between the PMO and Digital Solutions teams, leveraging data from multiple applications and databases to provide a clear and reliable view of project status. Your focus will be on analyzing, consolidating, and visualizing information to support decision-making, identify risks, and improve overall project governance. You will work closely with stakeholders to understand reporting needs and translate them into actionable analytics solutions, enabling greater visibility and consistency across projects. Support the PMO in tracking and analyzing project status, progress, and performance indicators Consolidate and analyze data from multiple sources (project management tools, engineering systems, internal databases) Act as a liaison between PMO and Digital Solutions teams to align data availability and analytical needs Develop and maintain dashboards and reports to provide clear visibility of project KPIs, timelines, and risks Ensure data consistency and reliability across different systems and reporting layers Identify patterns, trends, and potential risks in project execution through data analysis Support decision-making by delivering structured insights and recommendations Define and document data requirements and reporting standards with stakeholders Contribute to improving data models and structuring information to enhance analytics capabilities Support continuous improvement of reporting processes and data quality Profile Experience in data analysis and reporting, using tools such as Power BI, Tableau, Qlik, or similar Strong ability to consolidate and analyze data from multiple sources, including project management tools, internal systems, and databases Basic understanding of data processing and transformation (e.g., SQL, Python, or ETL concepts) to support data preparation and structuring Familiarity with data models and data warehousing concepts Experience working with databases and cloud environments (AWS or similar is a plus) Solid understanding of data quality, consistency, and validation best practices Strong collaboration skills, especially in cross-functional environments (PMO, Digital Solutions, engineering teams) Ability to translate business needs into clear analytical insights and actionable reporting Analytical mindset with a focus on process improvement and operational efficiency Experience identifying trends, risks, and performance issues through data analysis Interest in AI/ML technologies and their practical application in analytics Experience leveraging AI assistants (ChatGPT, Copilot, Claude) to enhance productivity and analytical workflows Education Degree in Industrial Engineering, Computer Science or Software Engineering or similar. Languages Fluent in Spanish and English. Catalan is a plus WHAT ARE THE PHASES OF THE SELECTION PROCESS? Here's your roadmap: • 1st: Submit your application and complete our screening questions. • 2nd: Quick chat with HR. • 3rd: Interview with the hiring team and complete English and attitudinal assessments. • 4th: Receive your offer and begin your onboarding journey. Let's start this adventure together! Applus IDIADA is committed to equality, diversity and inclusion . We don’t put limits on you, so don’t put limits on yourself either. There is a place for everyone.