DHL Germany
DHL Germany is hiring: Business Data Analyst II in Canal Winchester
DHL Germany, Canal Winchester, OH, US, 43110
To apply knowledge and analytics to develop and communicate timely, accurate, and actionable insight to the business through the use of modeling, visualization, and optimization. Responsible for the reporting, analyzing, and predicting of operational processes, performance, and Key Performance Indicators. Communication with site leadership, operations, and finance on efficiency, customer requirements, account specific issues, and insight into to the business, operations, and customer.
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.
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