Business Analyst (Data Steward)

Trimble; Mannheim; Remote; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading company in transportation technology seeks a Business Analyst (Data Steward) to govern transportation data quality. Collaborating with various stakeholders, you will ensure data integrity and usability while enhancing the management system. This role is fully remote in Germany or Europe.

Qualifikationen

• Knowledge of data quality dimensions and improvement.
• Experience as a Business Analyst or in similar roles.
• Proven ability to work effectively with diverse stakeholders.

Aufgaben

• Define data standards, business rules, and ensure data quality.
• Manage metadata for transportation data assets.
• Serve as the main contact for data-related questions.

Kenntnisse

Data Quality Management

Communication

Data Analysis

Collaboration

Jobbeschreibung

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Business Analyst (Data Steward), Mannheim

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Client:

Trimble

Location:

Mannheim, Germany

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

4123dfc3ec2b

Job Views:

2

Posted:

13.07.2025

Expiry Date:

27.08.2025

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Job Description:

Your Title: Business Analyst (Data Steward)

Job Location : Europe , Remote

Our Department: Transporeon

About Trimble / Transporeon

At Trimble, we build innovative products that change the way the world works. Through our Transporeon business, we are seeking enthusiastic and experienced professionals to build our next generation platform services for Transportation products and services.

About The Role

The Data Steward will be governing central reference data for the transportation domain at Trimble. This crucial role ensures the quality, integrity, and usability of common data assets. Our team is building new applications to manage this reference data within the Trimble Cloud core platform and oversees its stewardship.

A key aspect of this role involves heavy cooperation with various stakeholders. You'll work closely with Product Managers to understand business requirements and how data supports new features, and collaborate with domain experts to capture precise data definitions and nuances. Engagement with customers will be essential to align on data usage and pain points, while continuous alignment with data governance teams will ensure adherence to organizational policies and standards. This collaborative approach is vital for ensuring our data effectively addresses the evolving needs of the industry.

Required Knowledge and Abilities:

Data Quality Management: Knowledge of data quality dimensions (accuracy, completeness, timeliness, etc.) and the ability to define, measure, and oversee the improvement of data quality for transportation datasets.

Application Requirements Understanding: Previous experience as a Business Analyst or in similar roles, providing solid knowledge of how data is shared between business applications.

Communication and Collaboration Skills: Proven ability to work effectively with diverse stakeholders—including technical teams, business users, analysts, and management—to define standards, solve problems, and champion data best practices.

Data Analysis Expertise: Hands-on ability to work with data, including strong grasp of data concepts and proven analytical skills.

Nice to have

Transportation Domain Knowledge: Understanding transportation and supply chain data, its context, criticality, and application in supporting transportation operations and decision-making across multinational environments is valuable for this role.

AI Enabled: Experience using AI tools like OpenAI or Gemini for analysis (, identifying data anomalies, enhancing metadata, and supporting data quality initiatives).

Key Responsibilities

Define and Maintain Data Standards: Establish clear definitions, business rules, and quality thresholds for key transportation data elements, ensuring consistency and proper use across the organization.

Manage Metadata: Ensure critical transportation data assets are thoroughly documented in data catalogs or glossaries, providing clear definitions, business context, and data lineage to foster understanding and trust.

Collaborate and Resolve Data Issues: Serve as the primary point of contact for data-related questions and issues within your domain, actively working with various teams to investigate, troubleshoot, and resolve problems efficiently.

Empower Application Improvement: Provide essential data and knowledge to the team, enabling them to enhance our reference data management system across all aspects to perfectly serve stakeholder needs.

Location:

This role is fully remote from Germany, or within Europe.

Trimble’s Inclusiveness Commitment

We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.

We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.

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