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# Sr. Data Specialist, Infrastructure Engineering

- **Company:** Dhl Express (usa), Inc.
- **Location:** Plantation, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Business Analytics Applications, Business Logic, Data Governance, Data Transformation, Python (Programming Language), Metadata Standards, Operational Data Store, Power BI, SQL Databases, Data Lineage, Data Analytics
- **Published:** October 5, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3425117319&tx=FK7976FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

## Description

* 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.