Lead Data analyst - The Mice Groups : Job Details

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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.

• Seniority levelMid-Senior level

• Employment typeContract

• IndustriesRetail

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