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Retail Data Analyst Jobs in California (NOW HIRING)

... retailers, restaurants and global businesses who rely on us to save lives, reduce emissions ... As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded ...

New

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods ... data wrangling, transformation, and exploratory analysis. Designing and measuring experiments ...

... retailers, restaurants and global businesses who rely on us to save lives, reduce emissions ... As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded ...

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Senior Data Analyst Department: Data, Insights and Loyalty Employment Type: Full Time Location: Los ... Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods ...

The ideal candidate combines retail or commercial judgment, financial acumen, advanced analytical skills, and a track recordof how organizations use data. Key Responsibilities * Merchandising ...

New

... retail products where people need them. As Platform 2 scales, Marketing, Commercial, and Growth ... As an embedded partner within the centralized Data Science & Analytics team, you will own the ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

Staff Data Analyst

Palo Alto, CA · On-site

$207 - $235/hr

Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at ... Develop automated monitoring systems to ensure data quality, reporting accuracy, and timely ...

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Staff Data Analyst

Palo Alto, CA · On-site

$72K - $96K/yr

Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at ... Partner cross-functionally with Data, Product, Engineering, and Finance teams to improve ...

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 ... The Sr Data Analyst - Store Analytics serves as a strategic analytics partner to Stores leadership ...

Universal Music Manufacturing & Logistics is seeking a logistics data analyst to support e-commerce and retail operations with analytics in the areas of distribution and transportation. This role is ...

The Business Data Analyst collaborates with business teams to determine needs and opportunities for ... Retail Management, eCommerce Management, Consumer Behavior Analysis, Marketing Optimization or ...

Showing results 21-40

Retail Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do retail data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for retail data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a retail data analyst?

A Retail Data Analyst collects, analyzes, and interprets sales and consumer data to help businesses optimize their retail strategies. They use data-driven insights to improve pricing, inventory management, marketing campaigns, and customer experience. Their role often involves working with databases, visualization tools, and statistical models to identify trends and opportunities. By leveraging data, they help retailers make informed decisions that drive sales and profitability.

What are the key skills and qualifications needed to thrive as a retail data analyst?

To thrive as a Retail Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid educational background in mathematics, economics, or a related field. Experience with data analysis tools such as Excel, SQL, Tableau, and often Python or R, along with relevant data analytics certifications, is highly valued. Excellent communication, attention to detail, and problem-solving abilities help candidates translate complex data into actionable business insights. These skills are crucial for turning retail data into strategies that drive sales, optimize inventory, and improve the customer experience.

What are the typical career paths and advancement opportunities for a retail data analyst?

Retail Data Analysts often start by working closely with merchandising, marketing, and operations teams to provide insights on sales trends, customer behavior, and inventory management. Over time, successful analysts can move into senior analyst positions, specialized roles (such as pricing or supply chain analytics), or even transition into management as analytics or business intelligence leads. Many organizations support professional development through training or cross-functional projects, allowing for growth into broader analytics, data science, or strategy roles. This field offers abundant opportunities for those interested in growing their technical expertise and business acumen.

What does a retail data analyst do?

A retail data analyst collects, analyzes, and interprets sales, inventory, and customer data to help retail businesses make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, optimize stock levels, and improve sales strategies. Strong analytical skills and understanding of retail operations are essential for this role.

What is data analytics in retail?

Data analytics in retail involves examining large sets of sales, customer, and inventory data to identify patterns, trends, and insights that support decision-making. Retail data analysts use tools like Excel, SQL, and data visualization software to optimize inventory, improve customer experience, and increase sales efficiency.

What are the most commonly searched types of Retail Data Analyst jobs in California?

The most popular types of Retail Data Analyst jobs in California are:

What job categories do people searching Retail Data Analyst jobs in California look for?

The top searched job categories for Retail Data Analyst jobs in California are:

What cities in California are hiring for Retail Data Analyst jobs?

Cities in California with the most Retail Data Analyst job openings:

Infographic showing various Retail Data Analyst job openings in California as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Senior Data Analyst

Namely

South San Francisco, CA • On-site

$140 - $180/hr

Other

Medical, Dental, Vision, PTO

Posted 3 days ago

New


Job description

About Zipline

Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.

Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.

Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

About You and The Role

Zipline is on a mission to transform how goods move by making autonomous drone delivery the fastest, most reliable, and most delightful logistics system in the world. As we continue to scale our Platform 2 (P2) business, we are looking for a Business Data Analyst to help turn data into actionable insights that drive growth.

As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded business and analytics partner to stakeholders across Marketing, Commercial, and Growth. You will help teams make better decisions by translating business questions into analyses, dashboards, and recommendations that improve performance, identify opportunities, and accelerate growth.

This role is ideal for someone who enjoys combining technical expertise with business curiosity. You are comfortable working with large datasets, building intuitive reporting solutions, and communicating complex findings in ways that inspire action. You are excited by the opportunity to use modern analytics and AI tools to automate manual work, improve visibility, and help Zipline scale efficiently.

What You'll Do
  • Own analyses of customer behavior, commercial performance, market dynamics, and Platform 2 growth opportunities.
  • Define KPI frameworks and metric definitions that give Marketing, Commercial, and Growth teams a consistent view of progress against strategic priorities.
  • Build and maintain business-facing dashboards and self-service reporting that stakeholders use to assess performance and plan action.
  • Translate analysis into recommendations that inform campaign investment, commercial prioritization, growth initiatives, and strategic tradeoffs.
  • Monitor performance to identify material trends, risks, and opportunities requiring a decision or change in business approach.
  • Partner with Data Science, Product, and business teams to improve data quality, reporting capabilities, and analytical processes.
  • Use AI-enabled workflows to automate recurring reporting and analysis, reducing manual work and improving the speed of insight delivery.
What You'll Bring
  • 5+ years of experience delivering analytics or business intelligence work in analytics, operations, technology, logistics, eCommerce, or a related environment.
  • Advanced SQL proficiency and experience querying complex relational datasets.
  • Experience building business-facing dashboards in Sigma, Tableau, Looker, Power BI, or a similar platform.
  • Familiarity with data warehouses such as Snowflake or Redshift and a scripting language such as Python.
  • Ability to turn ambiguous commercial or growth questions into rigorous analyses, clear measurement approaches, and actionable recommendations.
  • Strong communication and business judgment, with evidence of helping technical and non-technical stakeholders act on data.
  • Experience using AI tools to automate analytical workflows or recurring reporting, plus a bachelor’s degree in a quantitative or related field.
What Else You Need to Know

The starting cash range for this role is $140,000 - $180,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Zipline ’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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