Business Data Analyst I

DHL Supply Chain•Huntsville, AL

2d•Hybrid

About The Position

The Business Data Analyst I transforms operational data into strategic insights to identify opportunities, improve performance, and reduce costs. The role collaborates with site leadership, sector leadership, and other stakeholders to build reports, implement standard tools, and support data-driven decisions. It is suited to someone with foundational analytics experience who can take ownership of projects and grow into a trusted resource for data solutions. The analyst develops Power BI reports and dashboards, including data visualizations and back-end data models; cleans, models, and analyzes data using SQL, DAX, and statistical techniques; and translates complex data into actionable insights through presentations and reports for internal and customer use. The role also supports functional teams such as HR and Finance with customized analytics, works with data from operational systems including warehouse management and timekeeping systems, manages analytics projects from concept through delivery, and serves as a point of contact for Power BI questions and support. The position follows a hybrid schedule of three days per week in the office and two days working from home, with 10–15% local travel to other sites. It may require working fully onsite if based at a warehouse. The national salary range is $70,000–$115,000; the range is $70,304–$115,000 in California and $80,169–$115,000 in Washington. DHL Supply Chain offers medical, dental, vision, and prescription benefits, discounted stock purchase, and a generous PTO policy. The organization is an equal opportunity employer.

Requirements

Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or four years of equivalent professional experience.
At least one year of experience in data analytics, business intelligence, or a related field.
Hands-on experience using SQL or another scripting language, such as Python or R, to query, clean, and transform data.
Proficiency in Power BI, including building dashboards and reports from scratch.
Experience writing DAX expressions to automate and enhance Power BI reports.
Ability to work independently, manage multiple priorities, and meet deadlines.
Must be able to work fully onsite if the role is based out of a warehouse.

Nice To Haves

Strong understanding of statistical concepts and data modeling techniques.
Excellent communication and presentation skills, with the ability to translate data into actionable insights.

Responsibilities

Develop and maintain Power BI reports to support operational and strategic decisions.
Build Power BI solutions end to end, including data visualizations and back-end data model design.
Clean, model, and analyze data using SQL, DAX, and statistical techniques to identify trends and drive improvements.
Collaborate with site and sector leadership to identify efficiency and cost-reduction opportunities.
Assist functional teams, including HR and Finance, with customized analytical solutions.
Translate complex data into clear, actionable insights through presentations and reports for internal and customer use.
Leverage data from operational systems, including warehouse management and timekeeping systems.
Manage analytics projects independently from concept to delivery.
Serve as a point of contact for Power BI-related questions and support.