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. As part of the Data &
Technology Group, you will play a critical role in driving operational excellence by delivering actionable
insights, streamlining data workflows, and partnering with stakeholders across supply chain, logistics, DC’s
and digital commerce. 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.