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Sr Business Data Analyst

DHL Supply Chain
Fairburn, USA
Full-time
Mid-Senior
Onsite
$70,000–$115,000
Discovered 1 months ago
Data analyticsBusiness intelligencePower BISQLDAXPython

Full Job Posting

Location and workplace

  • Role is expected to be based in Fairburn, GA; depending on qualifications, it may be based in Dallas, TX, Perris, CA, or Elgin, IL.
  • Fully onsite work is required if the role is based out of a warehouse.

Compensation

  • National salary range is $70,000–$115,000; California range is $70,304–$115,000; Washington range is $80,169–$115,000.

Benefits

  • Benefits include medical, dental, vision, prescription coverage, discounted stock purchase, a general bonus plan, and paid time off.

Role overview

Support warehouse operations by turning data into actionable insights that improve performance and efficiency.

Collaborate with site leadership and stakeholders on dashboards, standard tools, and data-driven decisions.

May lead projects across sites, support site startups, and serve as a contact for analytics community initiatives.

Responsibilities

  • Develop and maintain Power BI reports, visualizations, and back-end data models.
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques; identify trends and improvements.
  • Maintain site or sector reporting tools and deliver tailored analytics for functional teams.
  • Support Power BI users and analytics initiatives; lead sessions that build data literacy and tool adoption.
  • Manage projects across sites and support site startups with analytics tools and reporting frameworks.
  • Build ETL pipelines from structured, semi-structured, and unstructured sources; use analytics tools to improve reporting and automation.
  • Apply current analytics trends and best practices to improve processes.

Required experience

  • Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or related field, or 4 years equivalent professional experience.
  • At least 3 years in analytics, business intelligence, or a related field.
  • Extensive SQL or scripting experience, including Python or R, for querying, cleaning, and transforming data.
  • Proficiency building Power BI dashboards and reports from scratch and writing DAX expressions.
  • Experience designing and managing data pipelines and diverse data sources.
  • Strong knowledge of statistics, data modeling, and analytics trends; strong communication and presentation skills.
  • Able to work independently, manage priorities, and lead cross-functional projects.

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