Sr Business Data Analyst

DPDHL•Lebanon, PA

18h•$70,000 - $115,000•Onsite

About The Position

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.

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

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