Business Intelligence (BI) Analyst – Retail Analytics

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

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.