Sr. Data Specialist, Infrastructure Engineering

• Gather, organize, analyze, cleanse, validate, and reconcile operational and MHE asset data to ensure accurate reporting and reliable business insights.
• Develop, maintain, and enhance Power BI reports and dashboards to visualize equipment trends, utilization, performance, and opportunities for automation and operational improvement.
• Partner with engineering and business stakeholders to gather and document reporting requirements, business logic, data definitions, and acceptance criteria.
• Identify data gaps and inconsistencies and establish standardized reporting formats, definitions, and processes to improve data quality and consistency.
• Maintain an inventory of MHE and operational data assets, including data sources, ownership, purpose, refresh schedules, classifications, and business use.
• Develop and maintain data catalog documentation, including business definitions, data lineage, quality considerations, metadata, and classifications.
• Apply consistent naming conventions, metadata standards, and data classifications to improve data discoverability, governance, and reuse.
• Maintain business and technical documentation for datasets, data transformations, dashboards, reports, and recurring analytics processes.
• Support testing, validation, troubleshooting, and continuous improvement of dashboards, reports, and other analytics solutions.
• Analyze equipment and operational data to identify trends, opportunities for process improvement, and potential applications for automation.
• Research industry best practices and emerging trends related to automated warehousing, material handling equipment, and data analytics.
• Prepare and present reports, findings, recommendations, and project updates to technical and non-technical stakeholders.
• Collaborate with Engineering, Operations, Service Quality, and other cross-functional partners on data and analytics initiatives that support operational performance and strategic objectives.

• Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Data Science, or a related field.
• 3-5 years of related experience
• Strong proficiency in Excel and Power BI; familiarity with SQL or Python is a plus.
• Interest in automation, robotics, and data-driven engineering.
• Strong analytical and communication skills.
• Ability to work independently and collaboratively in a cross-functional environment.
• Proficient with Microsoft Excel and able to profile and reconcile datasets.
• Strong attention to detail and clear business and technical documentation skills.
• Interest in data governance and cataloging concepts, including metadata, lineage, ownership, quality, and classification.
• Strong analytical, problem-solving, and stakeholder communication skills.

What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world.

DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment - to our business, to each other and to our global communities. DHL is dedicated to being a great place to work. In addition to competitive compensation packages, our employees enjoy a range of programs, services and benefits that bring the best to their personal lives.

DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment - to our business, to each other and to our global communities. DHL is dedicated to being a great place to work. In addition to competitive compensation packages, our employees enjoy a range of programs, services and benefits that bring the best to their personal lives.