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Retail Analytics Jobs in California (NOW HIRING)

ZURU

Sales Operations Analyst

Los Angeles, CA · On-site

$95K - $120K/yr

Hands-on experience with at least one major retail analytics platform: Circana, NielsenIQ, Walmart Luminate Charter, or RetailLink. Comfortable building category narratives from raw POS. * Strong ...

ZURU

Sales Operations Analyst

El Segundo, CA · On-site

$95K - $120K/yr

Hands-on experience with at least one major retail analytics platform: Circana, NielsenIQ, Walmart Luminate Charter, or RetailLink. Comfortable building category narratives from raw POS. * Strong ...

Tailored Brands

Sr Data Analyst - Store Analytics

Dublin, CA · On-site +1

$96K - $122K/yr

Tailored Brands is a leading specialty retailer of menswear, including suits, formalwear ... What You'll Bring | Skills & Experience • Bachelor's degree in Analytics, Statistics, Economics ...

Shop Trulieve

Business Analyst, Retail

Los Angeles, CA · Remote

Retail Analyst (Retail Technology / POS Platform) Department: Retail Technology Reports To: Senior Manager, Retail Technology Work Location: Remote Position Summary: The Retail Analyst (Retail ...

New

Vuori, Inc

Sr. Retail Analyst

Carlsbad, CA · On-site

Innovation in Analytics: Champion the adoption of advanced analytical techniques and emerging ... a retail environment. * Advanced Analytics & Modeling Skills: Demonstrated ability to apply ...

Vuori, Inc

Sr. Retail Analyst

Carlsbad, CA

Innovation in Analytics: Champion the adoption of advanced analytical techniques and emerging ... retail sector.  Additional Information Our investment in you: At Vuori, we're proud to offer the ...

Vuori, Inc

Sr. Retail Analyst

Carlsbad, CA · On-site

Innovation in Analytics: Champion the adoption of advanced analytical techniques and emerging ... retail sector. Additional Information Our investment in you: At Vuori, we're proud to offer the ...

MINISO USA

FP&A Analyst

West Covina, CA · On-site

$85K - $120K/yr

Bachelor's Degree in Finance, Accounting, Economics, Business, Data Analytics, or a related field * 3+ years of experience in financial analysis, FP&A, or retail analytics, within a brick-and-mortar ...

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All JobsRetail Analytics JobsRetail Analytics Jobs in California

Retail Analytics information

See California salary details

$73

$80

$87

How much do retail analytics jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for retail analytics in California is $80.79, according to ZipRecruiter salary data. Most workers in this role earn between $77.31 and $84.28 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Retail Analytics, and why are they important?

To thrive in Retail Analytics, you need strong analytical skills, statistical knowledge, and a background in business, mathematics, or a related field. Proficiency with data analysis tools such as SQL, Microsoft Excel, Tableau, and statistical software like R or Python is typically required. Effective communication, problem-solving, and attention to detail are crucial soft skills for translating data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decisions that optimize sales, inventory, and customer experience in the retail industry.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and statistical tools that can be learned at any age. Many professionals transition into data analysis later in their careers by acquiring relevant certifications and gaining experience with tools like Excel, SQL, and Python.

What does a retail data analyst do?

A retail data analyst collects, analyzes, and interprets sales, customer, and inventory data to identify trends and support business decisions. They use tools like Excel, SQL, and data visualization software to generate reports and provide insights that help improve sales performance and operational efficiency.

What does a retail analyst do?

A retail analyst examines sales data, customer trends, and inventory levels to help retail businesses improve performance and profitability. They use tools like Excel and data analysis software to identify patterns and support decision-making, often working closely with marketing and operations teams.

How does a Retail Analytics professional typically collaborate with other departments to drive business decisions?

Retail Analytics professionals frequently work alongside teams such as marketing, merchandising, operations, and supply chain. They gather and analyze data to uncover trends in customer behavior, sales performance, and inventory levels, then present actionable insights to support strategic planning. Effective communication and cross-functional collaboration are essential, as analytics professionals must translate complex data findings into clear recommendations that other departments can implement. This collaborative approach ensures that data-driven decisions align with overall business goals.

What is retail analytics?

Retail analytics is the process used by retail professionals to analyze data related to customer behavior, sales, inventory, and store operations. It involves using tools like data visualization and statistical analysis to improve decision-making, optimize sales strategies, and enhance customer experience.

What is the difference between Retail Analytics vs Retail Data Analyst?

AspectRetail AnalyticsRetail Data Analyst
Required CredentialsBachelor's in Business, Data Science, or related fields; experience with analytics toolsBachelor's in Statistics, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentCollaborates with marketing, sales, and operations teams to interpret dataAnalyzes sales and customer data to generate reports and insights
Employer & Industry UsageUsed by retail chains, e-commerce companies, and market research firmsCommonly employed within retail companies for data reporting and analysis

Retail Analytics focuses on interpreting large datasets to inform strategic decisions, often involving predictive modeling and advanced analytics. Retail Data Analysts primarily gather, process, and report on sales and customer data to support operational decisions. While both roles require similar skills and work environments, Retail Analytics tends to involve more strategic and predictive work, whereas Retail Data Analysts focus on data reporting and insights generation.

What are popular job titles related to Retail Analytics jobs in California? For Retail Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Retail Analytics jobs in California look for? The top searched job categories for Retail Analytics jobs in California are:
What cities in California are hiring for Retail Analytics jobs? Cities in California with the most Retail Analytics job openings:
Retail Analytics jobs near you
Infographic showing various Retail Analytics job openings in California as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $168,048 per year, or $80.8 per hour.
Manager, Data - Retail & eCommerce Analytics

Manager, Data - Retail & eCommerce Analytics

a.k.a. Brands

San Francisco, CA • On-site

Other

Posted 24 days ago

Job description

Overview

a.k.a. Brands is seeking a Manager, Data - Retail & eCommerce Analytics to join our growing Data & Analytics team. In this role, you’ll leverage data to uncover insights that drive strategy and decision-making across our portfolio of next-generation fashion brands.

You’ll partner closely with teams in Merchandising, Planning, Marketing, Finance, and Operations to analyze performance across digital and retail channels.

The ideal candidate combines strong technical skills with business acumen and a passion for retail and fashion. You’re a self-starter who thrives on solving complex problems, optimizing performance, and transforming data into clear, actionable insights that create measurable business impact.


Key Responsibilities

  • Conduct advanced analyses on sales, inventory, pricing, and customer performance across DTC and retail channels to identify trends and opportunities.
  • Partner cross-functionally to deliver insights that support forecasting, planning, and strategic decision-making.
  • Lead deep-dive analyses into brand, channel, and customer behavior to uncover growth and efficiency opportunities.
  • Collaborate with the data engineering team to develop new metrics, data streams, and data structures that enhance data accessibility and reporting capabilities.
  • Collaborate with data engineering to enhance data quality, streamline pipelines, and build scalable data models that improve access and reliability.
  • Develop and maintain dashboards, visualizations, and reports (Tableau or similar) to track key business metrics.
  • Ensure accuracy, consistency, and governance of data across analytics and reporting systems.
  • Translate complex data findings into concise, business-friendly presentations and recommendations for stakeholders.
  • Support continuous improvement of analytical frameworks, metrics, and processes across the organization.


Qualifications

  • Bachelor’s degree in Data Analytics, Business, Economics, Statistics, or a related field.
  • 4–7+ years of experience in data or business analytics, ideally in retail, fashion, or consumer goods.
  • Strong proficiency in SQL, Excel/Google Sheets, and at least one BI tool (Tableau strongly preferred).
  • Deep understanding of retail and eCommerce performance metrics (sales, conversion, inventory, margin, customer segmentation).
  • Excellent storytelling and communication skills — able to distill data into clear insights and influence decisions.
  • Experience working with omnichannel data from platforms such as Shopify, NetSuite, or similar systems is a plus.
  • Detail-oriented with strong problem-solving skills and the ability to work independently in a fast-paced environment.


Location

Hybrid in San Francisco or fully remote.

Apply