Senior Data Analyst – WMS (Warehouse Management System) Pittsburgh, PA (Open to remote) This position pays around $40/hr on W2 Job Summary: We are seeking a highly skilled Senior Data Analyst to support our Warehouse Management System (WMS) and fulfillment operations across both in-store and online direct-to-consumer channels. This role combines strong technical expertise with a deep understanding of omni-channel warehouse operations and omni-channel fulfillment. Key Responsibilities: • Analyze WMS and fulfillment data to identify trends, performance gaps, and opportunities for operational improvements across distribution centers. • Develop and maintain dashboards and analytics tools that support key retail metrics, including inventory accuracy, pick/pack productivity, order cycle time, fulfillment SLA adherence, and returns processing. • Collaborate closely with supply chain, eCommerce, DC, and IT teams to ensure WMS data aligns with business needs and supports both in-store and digital customer experiences. • Support data validation and quality assurance across WMS, ERP , POS, and eCommerce systems to ensure accurate and consistent reporting. • Conduct deep dives and root cause analysis into fulfillment delays, stockouts, system errors, and inefficiencies; provide data-driven recommendations. • Partner with technology teams on WMS upgrades, automation initiatives, and system integrations to improve fulfillment performance. • Create and maintain ETL processes, data pipelines, and automation scripts to streamline reporting and improve data availability, in partnership with the Data Engineering team. • Guide junior analysts and operations staff in using data tools and interpreting reports to enhance decision-making at the warehouse and store levels. • Some travel to the Distribution centers in the network -10-25% of the time; Domestic & International • Travel to DC locations to understand and develop insights across our network, up to 25% of time. Education & Experience: • Bachelor’s degree in Data Analytics, Information Systems, Supply Chain, or a related field. • Minimum 5 years of experience in data analytics, ideally within retail or warehouse operations. • Hands-on experience with major WMS platforms (e.g., Manhattan, Blue Yonder, SAP EWM) in a retail distribution or omni-channel environment, with a proven ability to extract, interpret and present operational insights. • Demonstrated ability to use data to drive process improvements in areas such as inventory accuracy, order fulfillment, labor productivity, and warehouse throughput. Technical Skills: • Proficient in SQL and data visualization tools such as Tableau or Cognos. • Strong Excel skills; experience with Python, R, or other scripting languages is an advantage. • Warehouse Management Systems infrastructure or technical acumen - Manhattan Active, Blue Yonder, SAP, Korber • Familiarity with ERP and retail systems (SAP, Oracle, POS platforms, eCommerce order management). • Experience with cloud-based analytics platforms (GCP) preferred. • Experience working with large complex datasets from multiple sources. Soft Skills: • Ability to translate technical findings into actionable recommendations for operations, product and engineering teams. • Excellent communication and storytelling skills with the ability to influence cross-functional stakeholders. • Highly analytical and detail-oriented, with a proactive approach to solving complex problems. • Able to manage multiple priorities and deadlines in a dynamic retail environment.