Retail BI Analyst: AI-Driven Insights & Dashboards

TechWish; Manhattan Beach (CA); On-site; USD 80,000 - 110,000; Full time

Job summary

Skechers is seeking an experienced Business Intelligence Analyst to join onsite in Los Angeles, focusing on retail analytics. You will translate business needs into decision-ready dashboards, reports, and data models using BI tools, with AI/ML-driven insights integrated where applicable.

You will collaborate with merchandising, supply chain, store operations, and finance teams to uncover trends, forecast demand, optimize inventory, and improve customer analytics, while ensuring data accuracy and

Qualifications

• Proven BI experience in retail or consumer goods.
• Strong understanding of retail processes (sales, merchandising, inventory).
• Hands-on with BI tools like Power BI, Tableau, or Qlik.
• Working knowledge of SQL and data modeling concepts.
• Exposure to AI/ML concepts integrated into BI workflows.

Responsibilities

• Partner with retail stakeholders to understand needs and decision points.
• Translate requirements into BI dashboards, reports, and data models.
• Design, build, and maintain BI dashboards and reports (Power BI/Tableau/Qlik).
• Incorporate AI/ML insights into BI outputs (forecasting, segmentation).
• Analyze data to identify trends and opportunities in sales, inventory, and customer behavior.
• Ensure data accuracy and governance across BI reporting layers.
• Bridge business and technical teams to ensure aligned BI outputs.

Skills

BI analytics

SQL

Data modeling

Power BI/Tableau

AI/ML concepts

Stakeholder mgmt

Tools

Power BI

Tableau

Qlik

Job description

Skechers is seeking an experienced Business Intelligence Analyst to join onsite in Los Angeles, focusing on retail analytics. You will translate business needs into decision-ready dashboards, reports, and data models using BI tools, with AI/ML-driven insights integrated where applicable.

You will collaborate with merchandising, supply chain, store operations, and finance teams to uncover trends, forecast demand, optimize inventory, and improve customer analytics, while ensuring data accuracy and