Business Data Analyst II

DHL Supply Chain; Wichita (KS); On-site; Confidential; Full time

Benefits offered by this job

Medical

Dental

Vision

Prescription

Stock purchase plan

Generous PTO

Job summary

DHL Supply Chain is seeking a Business Data Analyst II to transform operational data into insights that improve performance, reduce costs, and enhance service levels within our warehouse operations. You will collaborate with site leadership to develop models, dashboards, and reports that guide decisions.

The role emphasizes data visualization, back-end data modeling, and applying SQL, DAX, and analytics techniques to uncover trends and drive improvements.

Qualifications

• Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or 4 years of equivalent experience.
• 0–2 years of data analytics or BI experience.
• Proficiency in Power BI with dashboard and report building.
• Experience using SQL to query and transform data.

Responsibilities

• Develop and maintain Power BI reports to support decisions.
• Design data models and back-end data structures for BI.
• Clean, model, and analyze data using SQL and DAX.
• Collaborate with site leadership to identify efficiency opportunities.
• Translate complex data into actionable insights for stakeholders.

Skills

Power BI

SQL

DAX

Data visualization

Communication skills

Education

Bachelor’s degree in Business/Logistics/Math/Statistics

Tools

Python

R

Job description

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.

DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.

Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we’re looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you\'re a curious, self-driven problem solver with a passion for analytics, innovation, and impact—this role is for you!

Job Description

As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You’ll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.

Responsibilities

• Develop and maintain Power BI reports to support operational and strategic decisions
• Full development of Power BI including data visualization and back-end data model design
• 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 various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
• Translate complex data into clear, actionable insights through presentations and reports for internal and customer use
• Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)

Required Experience

• Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
• 0–2 years of experience in data analytics, business intelligence, or a related field, required
• Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred
• Proficiency in Power BI, including building dashboards and reports, required
• Experience writing DAX expressions to automate and enhance Power BI reports, preferred
• Familiarity with statistical concepts and data modeling techniques, preferred
• Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred
• Must be able to work fully onsite if role based out of a warehouse, required

Our Organization is an equal opportunity employer.