Business Intelligence (BI) Analyst – Retail Analytics

Location: Los Angeles, CA (Onsite - 5 days/week, Manhattan Beach area)

About The Role

Skechers is looking for an experienced, all-round Business Intelligence professional to join their onsite team in Los Angeles. This role sits at the intersection of retail business operations and modern BI/analytics toolsets, helping translate business needs into decision-intelligence solutions powered by analytics, AI, and data science.

Responsibilities

• Partner with business stakeholders across retail functions (merchandising, supply chain, store operations, finance) to understand processes, pain points, and decision-making needs.
• Translate business requirements into BI solutions — dashboards, reports, data models — that drive actionable insights.
• Design, build, and maintain BI dashboards and reports using tools such as Power BI, Tableau, or similar platforms.
• Work with data engineering/data science teams to incorporate AI/ML-driven insights into BI deliverables (e.g., demand forecasting, customer segmentation, inventory optimization).
• Perform data analysis to identify trends, patterns, and opportunities relevant to retail performance (sales, inventory, customer behavior, etc.).
• Ensure data accuracy, consistency, and governance across BI reporting layers.
• Act as a liaison between business teams and technical teams, ensuring BI outputs align with business context and strategic goals.
• Continuously evaluate and recommend improvements to BI processes, tools, and reporting frameworks.

Requirements

• Proven experience as a BI Analyst/Developer/Consultant, ideally within retail or consumer goods industries.
• Strong understanding of retail business processes (sales, merchandising, inventory, supply chain, customer analytics).
• Hands-on expertise with BI tools (Power BI, Tableau, Qlik, or similar).
• Working knowledge of SQL and data modeling concepts.
• Exposure to AI/ML concepts and how they integrate into BI/decision-intelligence workflows.
• Strong communication and stakeholder management skills — able to bridge business and technical conversations.
• Experience with data warehousing concepts and ETL processes is a plus.

Nice to Have

• Experience with cloud data platforms (Azure, AWS, GCP).
• Familiarity with data science workflows (Python/R) for advanced analytics.
• Prior experience working with retail/apparel/footwear brands.