
Senior Data Analyst WMS (Warehouse Management System) - Pittsburgh, PA (Open to remote)
Posted 1 week ago by 1753282110
Negotiable
Outside
Remote
USA
Summary: We are seeking a highly skilled Senior Data Analyst with 8-10 years of experience to support our Warehouse Management System (WMS) and fulfillment operations. The ideal candidate will possess strong technical expertise in SQL and Tableau, along with a deep understanding of supply chain and warehouse operations. Experience in retail and Manhattan WMS is highly desired, and the role may involve some travel to distribution centers. This position is open to remote work and classified as outside IR35.
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.
Key Skills:
- Bachelor's degree in Data Analytics, Information Systems, Supply Chain, or a related field.
- Minimum 8 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.
- 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 (Google Cloud Platform) preferred.
- Experience working with large complex datasets from multiple sources.
- 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.
Salary (Rate): £48/hr
City: Pittsburgh
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
- 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.
- Bachelor s degree in Data Analytics, Information Systems, Supply Chain, or a related field.
- Minimum 8 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.
- 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 (Google Cloud Platform) preferred.
- Experience working with large complex datasets from multiple sources.
- 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.