Business Analyst for Commercial and Masterdata (m/f/d)

Unleash your Potential. Make a Difference. We are DHL Freight – a global group of 13,000 road cargo experts and certified freight specialists operating in more than 40 countries, providing customers with the best overland freight transport solutions.

Key Responsibilities

• Gather, analyse, and translate business requirements into clear functional specifications and EWM user stories.
• Own the Knowledge Management pillar: maintain the team Wiki, SOPs, Playbooks, and process documentation to a consistent standard.
• Facilitate workshops and stakeholder interviews for gap analysis, process improvement, and country alignment.
• Lead and support change initiatives, coordinating with implementation teams and country nominated experts.
• Prepare and execute UAT, test scenarios, and post‑deployment validation.
• Build and maintain Power BI dashboards supporting tariff, pricing, and operational performance reporting, as well as master data quality, completeness, and exception monitoring.
• Extract, cleanse, and analyse large‑scale datasets (SQL, Python) to identify revenue leakage, support pricing and tariff optimisation, and surface master data defects and completeness gaps across commercial and MDM domains.
• Automate recurring reporting processes to eliminate manual effort and improve data reliability.
• Document analysis logic, automation tools, and data processes for team‑wide reuse.
• Support revenue impact initiatives through data analysis, scenario modelling, and structured findings.
• Monitor and report on master data health across EVO – identifying data quality issues, missing configurations, and object lifecycle gaps across customer, supplier, and operational master data.
• Support MDM data governance through structured analysis: validate data standards compliance, flag anomalies, and provide data‑backed input to remediation efforts.

Your Profile

• Experience as a Business Analyst, Requirements Engineer, or Business Process Expert – ideally in logistics or a comparable operational environment.
• Strong SQL skills – complex queries, large datasets, performance‑aware writing.
• Proficiency in Power BI – dashboard design, data modelling, automated reporting.
• Python proficiency for data processing, cleansing, and task automation.
• Strong understanding of logistics processes, IT system requirements, and master data management principles – including data object ownership, data quality governance, and lifecycle management.
• Appreciation for data quality and master data governance – ability to reason about data completeness, correctness, and lifecycle in a complex system landscape.
• Structured and precise approach to documentation – you leave things better than you found them.
• Strong analytical and conceptual skills with the ability to translate data into business decisions.
• Ability to work independently and manage concurrent priorities in a multinational environment.
• Strong written and spoken English at professional level.

Benefits

• Comprehensive Benefits Package: health insurance, retirement plans, 30 days paid vacation, generous corporate discount programs and other employee wellbeing programs.
• Global Exposure: work with diverse teams and gain exposure to international markets and practices.
• Work‑Life Balance: flexible work environment including mobile‑work opportunities that support personal and professional commitments.
• Continuous Learning and Development: training programs, workshops, and resources to enhance your skills and knowledge.
• And much more…

Equal Opportunity

DHL Freight is an equal opportunity employer and is very focused on promoting opportunities for.