Sr Business Data Analyst

DHL Supply Chain is looking for a Senior Business Data Analyst who is eager to apply data-driven thinking and support operational excellence. The role involves transforming data into actionable insights, collaborating with site leadership, and managing analytics projects to enhance performance and efficiency.

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 (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

Requirements:

• 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