Sr Business Data Analyst

DHL Supply Chain; Olive Branch (MS); Presencial; Confidencial; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical

Dental

Vision

Prescription

Discounted stock purchase

General Bonus Plan

Generous PTO

Descripción de la vacante

DHL Supply Chain is seeking a Senior Business Data Analyst in Olive Branch, MS to transform data into actionable insights that boost warehouse performance. You will build dashboards, design data models, and lead analytics projects across sites, collaborating with site leadership and stakeholders.

The role emphasizes Python/R tools, ETL pipelines, and state-of-the-art analytics practices, with onsite work expectations for warehouse-based roles and a strong focus on data literacy and tool adoption.

Formación

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

Responsabilidades

• Develop and maintain Power BI reports to support operational and strategic decisions.
• Fully develop 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 HR, Finance, and other 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 by implementing analytics tools and reporting frameworks.

Conocimientos

Data analytics

Data storytelling

Cross-functional collaboration

Independent work

Educación

Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or related field

Herramientas

Power BI

SQL

Python

R

ETL pipelines

Descripción del empleo

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, 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.