Sr Business Data Analyst

supply-chain; Olive Branch (MS); On-site; USD 70,000 - 115,000; 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 warehouse data into actionable insights, build dashboards, and support data-driven decision making. You’ll collaborate with site leadership to improve performance, lead analytics projects across multiple sites, and act as a resource for tooling and best practices.

This role emphasizes Power BI, SQL, DAX, Python or R, ETL development, and data modeling.

Qualifications

• Bachelor’s degree 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

Data storytelling

Data visualization

Project management

Data analysis

Education

Bachelor’s degree in Business, Logistics, Mathematics, Statistics

Tools

Power BI

SQL

DAX

Python

R

Job description

Schedule: This position follows a regular 5-day schedule and may be either Tuesday through Saturday or Sunday through Thursday, ensuring coverage on one weekend day each week.

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, requiredProficiency 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.