Business Data Analyst I

DHL (Supply Chain)•Kansas City, MO

4d•$70,000 - $115,000•Hybrid

About The Position

The Business Data Analyst I transforms operational data into strategic insights to identify opportunities, improve performance, and reduce costs. The analyst collaborates with site leadership and key stakeholders to build reports, implement standard tools, and support data-driven decision-making. This role is suited to someone with foundational analytics experience who can take ownership of projects and develop into a trusted resource for data solutions. The position develops and maintains Power BI reports, including data visualizations and back-end data models, and uses SQL, DAX, and statistical techniques to clean, model, and analyze data. It supports operational and strategic decisions, efficiency and cost-reduction initiatives, and the analytical needs of functions such as HR and Finance. The analyst also translates complex data into actionable presentations and reports for internal and customer use, draws on data from operational systems such as warehouse management and timekeeping systems, manages analytics projects from concept to delivery, and serves as a point of contact for Power BI questions and support. The role 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. If based out of a warehouse, the role must be performed fully onsite. The national salary range is $70,000–$115,000. For roles in California, the range is $70,304–$115,000; for Washington, it is $80,169–$115,000.

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.
Develop Power BI solutions end to end, including data visualizations and back-end data models.
Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements.
Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction.
Assist functional teams, including HR and Finance, with customized analytical solutions for evolving business needs.
Translate complex data into clear, actionable insights through presentations and reports for internal and customer use.
Leverage data from systems that support operations, 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.