Sr Business Data Analyst

DHL Supply Chain; Middletown Township (PA); On-site; Confidential; Full time

Benefits offered by this job

Medical

Dental

Vision

Prescription

Discounted Stock Purchase

General Bonus Plan

PTO

Job summary

DHL Supply Chain is seeking a Senior Business Data Analyst to transform data into actionable insights and build dashboards that improve warehouse performance across sites.

You will design ETL data pipelines, lead analytics projects, and collaborate with site leadership to drive data-driven decisions using Power BI, SQL, Python or R, and DAX. Onsite work may be required depending on the warehouse location.

Qualifications

• Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience.
• 3+ years of experience in data analytics, business intelligence, or a related field.
• Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data.
• Proficiency in Power BI, including building dashboards and reports from scratch.
• Proficiency in writing DAX expressions to automate and enhance Power BI reports.
• Experience designing and managing data pipelines and working with diverse data sources.
• Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends.
• Excellent communication and presentation skills, with the ability to translate data into actionable insights.
• Ability to work independently, manage multiple priorities, and lead cross-functional projects.
• Must be able to work fully onsite if role based out of a warehouse.

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.
• Implement and maintain standard reporting tools for the site or sector.
• Assist various functional teams with customized analytical solutions to meet evolving business needs.
• Serve as a point of contact for Power BI-related questions and analytics community initiatives.
• Lead knowledge-sharing sessions to promote data literacy and tool adoption.
• Manage analytics projects independently and across multiple sites.
• Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured sources.
• Apply Python, R, or other analytics tools to enhance reporting and automation.
• Stay current with modern data analytics trends and apply best practices to improve processes.
• Support site startups as needed by implementing analytics tools and reporting frameworks.

Skills

Analytical thinking

Communication skills

Leadership / project management

Education

Bachelor's degree or 4 years experience

Tools

SQL

Python

R

Power BI

DAX

ETL

Data modeling

Job description

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000.

For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000.

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

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we’re looking for a Senior Business Data Analyst who is eager to apply data-driven thinking, build impactful visualizations, and support operational excellence. This is your opportunity to grow your skills, collaborate with warehouse leaders, and become a go-to resource for data tools and insights. If you're curious, analytical, and ready to lead, this role is for you.

Job Description

As a Senior Business Data Analyst, you will support warehouse operations by transforming data into actionable insights that improve performance and efficiency. You’ll collaborate with site leadership and key stakeholders to build dashboards, implement standard tools, and support data-driven decision-making. In addition to core analytics work, you’ll have the opportunity to lead projects across multiple sites, support site startups, and act as a point of contact for analytics community initiatives.

• 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
• Implement and maintain standard reporting tools for the site or sector
• Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
• Serve as a point of contact for Power BI-related questions and analytics community initiatives
• Lead knowledge-sharing sessions to promote data literacy and tool adoption
• Manage analytics projects independently and across multiple sites
• Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured sources
• Apply Python, R, or other analytics tools to enhance reporting and automation
• Stay current with modern data analytics trends and apply best practices to improve processes
• Support site startups as needed by implementing analytics tools and reporting frameworks

Required Experience

• Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
• 3+ years of experience in data analytics, business intelligence, or a related field, required
• Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required
• Proficiency in Power BI, including building dashboards and reports from scratch, required
• Proficiency in writing DAX expressions to automate and enhance Power BI reports, required
• Experience designing and managing data pipelines and working with diverse data sources, required
• Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends, required
• Excellent communication and presentation skills, with the ability to translate data into actionable insights, required
• Ability to work independently, manage multiple priorities, and lead cross-functional projects, required
• Must be able to work fully onsite if role based out of a warehouse, required

Our Organization is an equal opportunity employer.