Job Description: Business Intelligence (BI) Analyst - Retail AnalyticsClient: Skechers
Location: Los Angeles, CA (Onsite - 5 days/week) - Manhattan Beach area
Role Type: All-round BI Resource
About the RoleSkechers 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.
Key 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.
Required Skills & Experience- 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.
