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Retail Analytics Jobs in California (NOW HIRING)

AaraTechnologies Inc

DATA ANALYST

California City, CA · On-site

Ideal for early-career professionals building analytics expertise. Key Responsibilities * Analyze retail and ecommerce datasets * Build dashboards using Tableau or Power BI * Write SQL queries for ...

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Retail Analytics information

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$73

$80

$87

How much do retail analytics jobs pay per hour?

As of Aug 29, 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.

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 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.

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 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.

What does a retail analytics do?

A retail analyst uses data analysis to evaluate sales trends, customer behavior, and inventory performance to help retail businesses improve sales and operational efficiency. They often work with tools like Excel, SQL, and data visualization software to interpret large datasets and support decision-making. Strong analytical skills and understanding of retail operations are essential for this role.

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 are the most commonly searched types of Retail Analytics jobs in California?

The most popular types of Retail Analytics jobs in California are:

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 August 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $168,048 per year, or $80.8 per hour.

Tableau BI Analyst - Actionable Retail Insights

a.k.a. Brands

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading retail analytics company in San Francisco is seeking a Tableau Report Developer to join their Data & Analytics team. In this role, you will design and maintain Tableau dashboards that provide actionable insights. The ideal candidate has over 3 years of experience in data analysis and a strong background in retail analytics, with excellent communication skills and proficiency in SQL. This is a full-time position offering competitive pay.

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