Business Data Analyst I

DHL Supply Chain•Newville, PA

8d•Onsite

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, sector leadership, and key stakeholders to build reports, implement standard tools, and support data-driven decision-making. The 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 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 turns complex data into actionable insights through presentations and reports for internal and customer use. The analyst uses data from operational systems such as Warehouse Management Systems and timekeeping systems, supports functional teams including HR and Finance with customized analytical solutions, independently manages analytics projects from concept to delivery, and serves as a point of contact for Power BI-related questions and support. The role must be fully onsite if based out of a warehouse.

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 fully onsite if the role is based out of a warehouse.
Excellent communication and presentation skills, with the ability to translate data into actionable insights.
Ability to work independently, manage multiple priorities, and meet deadlines.

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.
Ability to work independently, manage multiple priorities, and meet deadlines.

Responsibilities

Develop and maintain Power BI reports to support operational and strategic decisions.
Build Power BI solutions from end to end, including data visualizations and back-end data models.
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 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 Systems and timekeeping systems.
Manage analytics projects independently from concept through delivery.
Serve as a point of contact for Power BI-related questions and support.