Retail IT Operations Business Analyst

Skechers•Manhattan Beach, CA
•$120,000 - $140,000

About The Position

Skechers is seeking a Retail IT Operations Business Analyst to connect retail business partners with the IT organization. The role combines analytics, collaboration, and operational support, with responsibilities spanning reporting, exception intelligence, multi-platform solution design, and forward-looking insight. The analyst will turn data into actionable decisions that advance the retail business. The position produces recurring retail reports and dashboards, works with stakeholders to discover business needs, and translates requests into deliverables for BI developers. It also supports Global Retail IT operations, vendor relationships, retail technology initiatives, user acceptance testing, training, and documentation. The role partners with teams across retail functions and promotes data-driven decision-making.

Requirements

  • Strong analytical mindset and ability to distill complex datasets into clear, actionable insights.
  • Excellent communication skills with technical and non-technical stakeholders at all levels.
  • Ability to gather requirements and translate them into clear analytical and technical deliverables.
  • Detail-oriented and organized, with the ability to manage multiple priorities in a fast-paced global environment.
  • Comfort operating across global teams, time zones, and cultures in ambiguous, rapidly evolving environments.
  • Bachelor's degree in Business, Information Systems, Data Analytics, or a related field, or equivalent experience.
  • At least 5 years of experience in a Business Analyst, IT Operations, or Data Analytics role.
  • Hands-on experience building dashboards and reports using Tableau, Power BI, MicroStrategy, or an equivalent platform.
  • Proficiency in SQL.
  • Strong understanding of retail operations, including store technology, POS systems, and omnichannel processes.
  • Experience working with cross-functional and globally distributed teams.

Nice To Haves

  • Experience in consumer retail.
  • Data warehousing experience.

Responsibilities

  • Generate and distribute daily, weekly, monthly, and seasonal retail reports, including store scorecards, category recaps, channel summaries, and executive dashboards.
  • Design and maintain exception-based dashboards that highlight trends, outliers, and opportunities across store, channel, and category performance.
  • Provide insight-driven commentary explaining report results, their causes, and potential next steps.
  • Define and track retail IT KPIs in partnership with Corporate Data & Analytics.
  • Evaluate and recommend analytical solutions using BI platforms, business application databases, AI/ML tools, legacy platforms, or hybrid approaches.
  • Track platform capabilities and AI advancements and document solution decisions in a reusable knowledge base.
  • Act as the primary liaison between retail business stakeholders and the BI Engineering & Development team.
  • Lead discovery sessions with Store Operations, Merchandising, Allocations, Marketing, and E-Commerce to identify goals, pain points, and data needs.
  • Translate business requests into analytical briefs, functional specifications, and user stories for BI developers.
  • Manage the analytics intake pipeline and own UAT for business stakeholders before deployment.
  • Design exception reporting frameworks for sell-through, inventory health, conversion, promotional effectiveness, and digital engagement.
  • Use AI-powered anomaly detection to improve the speed and precision of exception identification.
  • Build scenario tools, trend projections, and what-if models to support proactive decision-making.
  • Support day-to-day Global Retail IT operations, including issue triage, intake management, resolution tracking, and SLA compliance monitoring.
  • Manage vendor relationships and support testing, validation, and rollout of retail technology initiatives, including POS enhancements, clienteling tools, and BI platform upgrades.
  • Maintain operational procedures, runbooks, and knowledge base articles.
  • Partner with Store Operations, Merchandising, Allocations, Marketing, E-Commerce, Finance, Corporate Data & Analytics, and the BI Development team.
  • Facilitate working sessions, communicate project status, and provide user training and self-service guides for reporting platforms.
  • Advocate for retail business needs in IT discussions and champion a data-driven culture.
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