Job description

Job Description: Business Intelligence (BI) Analyst – Retail Analytics Client: Skechers Location: Los Angeles, CA (Onsite – 5 days/week) - Manhattan Beach area Role Type: All-round BI Resource 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. 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.

Requirements

Must-haves

Job Description: Business Intelligence (BI) Analyst – Retail Analytics
Client: Skechers
Location: Los Angeles, CA (Onsite – 5 days/week) - Manhattan Beach area
Role Type: All-round BI Resource
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.

Nice-to-haves

Experience with data warehousing concepts and ETL processes is a plus.
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.

Application prep

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Keywords to mirror

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Effort: medium