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Job Description

Join DHL Supply Chain as a Sr Business Data Analyst in Westerville, Ohio, working onsite to turn warehouse and operational data into actionable insights that support performance and efficiency. This role combines hands-on analytics development with cross-functional partnership across site leadership and teams.

In this position, you will build reporting that decision-makers can trust, develop analytics tools and data pipelines, and bring data literacy forward through knowledge-sharing and analytics community initiatives. Compensation for this national role ranges from $70,000 to $115,000 per year, with location-specific ranges for California ($70,304 to $115,000) and Washington ($80,169 to $115,000).

What you will do

  • Develop and maintain Power BI reports that support operational and strategic decisions
  • Handle full Power BI development, including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to identify trends and drive improvements
  • Implement and maintain standard reporting tools for the site or sector
  • Create customized analytical solutions for functional teams such as HR and Finance as business needs evolve
  • Serve as a point of contact for Power BI questions and analytics community initiatives
  • Lead knowledge-sharing sessions to promote data literacy and tool adoption
  • Manage analytics projects independently and, when needed, across multiple sites
  • Design and implement ETL data pipelines from structured, semi-structured, and unstructured sources
  • Use Python, R, or other analytics tools to enhance reporting and automation
  • Stay current with modern data analytics trends and apply best practices to improve processes
  • Support site startups by implementing analytics tools and reporting frameworks

What you bring

  • Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field (or 4 years of equivalent professional experience), required
  • 3+ years of experience in data analytics, business intelligence, or a related field, required
  • Extensive experience using SQL or other scripting languages such as Python or R to query, clean, and transform data, required
  • Power BI proficiency, including building dashboards and reports from scratch, required
  • Proficiency writing DAX expressions to automate and enhance Power BI reports, required
  • Experience designing and managing data pipelines and working with diverse data sources, required
  • Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends, required
  • Excellent communication and presentation skills with the ability to translate data into actionable insights, required
  • Ability to work independently, manage multiple priorities, and lead cross-functional projects, required
  • Must be able to work fully onsite if the role is based out of a warehouse, required

Tools you’ll work with

Power BI, SQL, DAX, Python, R, ETL

Benefits

  • Medical
  • Dental
  • Vision
  • Prescription
  • Discounted Stock Purchase
  • General Bonus Plan
  • Generous PTO policy

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