Business Data Analyst II

Business Data Analyst II – DHL Supply Chain

Salary: $55,000 - $90,000 (National). California: $70,304 - $90,000;
Washington: $80,169 - $90,000;
New York: $62,354 - $90,000;
Colorado: $57,500 - $90,000.

Benefits:
Medical, Dental, Vision, Prescription, Discounted Stock Purchase, Generous PTO.

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. If you’re a curious, self‑driven problem solver with a passion for analytics, innovation, and impact, this role is for you!

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.

• 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.
• Leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.).

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

Our Organization is an equal opportunity employer.

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Information Technology

Industries:
Transportation, Logistics, Supply Chain and Storage