Retail IT Operations Business Analyst

Skechers • Manhattan Beach, CA

2d

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 retail reporting, exception intelligence, multi-platform solution design, business needs discovery, and forward-looking insight.

The analyst generates and distributes retail reporting, develops dashboards and analytical solutions, translates business needs into actionable specifications, and coordinates user acceptance testing. The role also supports Global Retail IT operations, vendor relationships, technology initiatives, stakeholder engagement, and user enablement. The position is intended for someone who can turn data into decisions and work effectively with technical and non-technical stakeholders across a global environment.

The listed pay range is $120,000–$140,000 per year USD.

Requirements

• 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; consumer retail experience is preferred.
• Hands-on experience building dashboards and reports with Tableau, Power BI, MicroStrategy, or an equivalent platform.
• Proficiency in SQL.
• Strong analytical 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.
• 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

• Consumer retail experience.
• Data warehousing experience.

Responsibilities

• Generate and distribute core retail reports on daily, weekly, monthly, and seasonal cadences, including store scorecards, category recaps, channel summaries, and executive dashboards.
• Design and maintain exception-based dashboards to surface trends, outliers, and opportunities across store, channel, and category performance.
• Provide insight-driven commentary with reports, explaining what happened, why it happened, and what actions to consider.
• Define and track retail IT KPIs with Corporate Data & Analytics.
• Evaluate and recommend analytical solutions using available BI platforms, business application databases, AI/ML tools, legacy platforms, and hybrid approaches.
• Keep current on platform capabilities and AI advancements, and document solution decisions in a reusable knowledge base.
• 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 user acceptance testing on behalf of 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 help business partners act proactively.
• 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 deliver user training and self-service guides for reporting platforms.
• Promote a data-driven culture and represent retail business needs in IT discussions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level