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Dana is a global leader in the supply of highly engineered driveline, sealing, and thermal-management technologies that improve the efficiency and performance of vehicles with both conventional and alternative-energy powertrains. Serving two primary markets – passenger vehicle and commercial truck – Dana provides the world's original-equipment manufacturers and the aftermarket with local product and service support through a network of nearly 100 engineering, manufacturing, and distribution facilities

PURPOSE
The Content& Data Analyst is responsible for activities related to product information and application data management and distribution. The Content Analyst provides catalog support related to, but not limited to, paper cataloging, digital content, data requirements and strategic initiatives. They must also maintain data quality and must have industry knowledge. The Content Analyst will also be required to maintain competency in the automotive aftermarket and customer specific data standards.

PRIMARY DUTIES AND RESPONSIBILITIES

Leverage market, vehicle, product, catalog, and competitive data to generate actionable insights, identify growth opportunities, support product strategy, and drive business decisions across the European aftermarket

Analyze complex data sets within TecDoc environment using application data, VIO, replacement rates identifying coverage gaps and opportunities

Drive the automation and continuous improvement of data analysis processes

Drive integration of aftermarket systems such as PIM, DAM, ERP

Support data-driven decision-making processes and improve organizational transparency

Ensure and continuously improve data quality standards across systems, processes and regions





Collaborate closely with internal stakeholders, including Sales, Marketing, and Product Management teams

Respond to internal data requests and provide clear, meaningful insights to support business activities

Manage external customer and partner data requirements, including data preparation, validation, and delivery

Contribute to the development and continuous improvement of data-driven processes within the aftermarket business environment

Develop and enhance rich content solutions, including 3D product visualizations and Illustrated Parts Lists (IPLs), to improve customer experience

EDUCATION AND QUALIFICATIONS

Minimum Bachelor's degree in Information Systems / Data Science, Industrial Engineering, Automotive Engineering, or a related field required

Minimum 3 years of experience in data analysis & data management within the automotive aftermarket industry is required

Very strong analytical and problem-solving skills combined with excellence in Excel and Power-BI, as well as knowledge of SQL and database technologies

In-depth knowledge of internal combustion engines, vehicle applications, and automotive systems/standards such as (TecDoc-Standard, PIM-systems) is required

Fluent English language skills, both written and spoken, are required. German language skills are an advantage.

SKILLS AND COMPETENCIES





Bachelor's degree is required

3 Years experience in Automotive Aftermarket

Excellent technical skills in Microsoft Office; Microsoft Excel, PowerPoint, Outlook, Power-BI

Excellent working knowledge of PIM systems, Database management and ERP systems (SAP)

Ability to absorb, organize and analyze extremely large datasets with the ability to extract key data

Excellent communication and organization skills

Time management skills and able to prioritize activities

Strong analytical skills, organizational skills and proven aptitude for numbers

Passionate, energetic, with a desire to drive results

Ability to work under pressure, meeting multiple project deadlines is required

Uncompromising judgment towards confidentiality & business ethics

TECHNICAL SKILLS

In-depth expertise in internal combustion engines, vehicle applications, and automotive data standards and systems (e.g. TecDoc-Standard, PIM platforms) is required

Excellent IT and analytical skills, complemented by hands-on experience with Python, SQL, and other data management and automation technologies.

Variety – through working in innovative and international teams

Flexibility – office & 1 day/week remote work

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Join our team of 28,000 problem solvers who are fostering a culture of innovation by leveraging the diverse perspectives of our integral team. We believe in facing challenges h

📌 Content & Data Analyst (Zaragoza)
🏢 dana
📍 Zaragoza