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Retail Data Jobs in California (NOW HIRING)

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

Bonus: experience in retail, e-commerce, or subscription/membership business models. Where we are ... Personal data and sensitive information will not be solicited during the application phase.

Relevant experience with subscription models, ecommerce, fashion/apparel/retail * Experience in a startup business environment * Experience working with Merch & Planning data * Experience working on ...

Minimum 5+ years of experience in brand management, brand marketing in CPG, managing complex large‑scale business, product, or marketing projects. * 4+ years of experience in retail data analytics ...

... 000 retail locations, including its Lids retail stores. Our more than 22,000 employees are ... Role Summary As a Data Scientist, you will support the development of analytical models ...

IT Manager II

Dublin, CA · On-site

$134K - $229K/yr

At least 5 years of retail IT experience, with specific systems knowledge of batch technology, retail system landscape, retail data, and operations. Experience with configuring and operating modern ...

... 000 retail locations, including its Lids retail stores. Our more than 22,000 employees are ... Role Summary As a Data Scientist, you will support the development of analytical models ...

Staff Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

We are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old ... Design data models that make analytics and ML pipelines scalable, repeatable, and cost-efficient.

IT Manager II

Dublin, CA · On-site

$134K - $229K/yr

... retail data, and operations. • Experience with configuring and operating modern, process and workflow automation solutions such as BMC. • Conceptual and practical understanding of IT Infrastr ...

IT Manager II

Dublin, CA · On-site

$134K - $229K/yr

... retail data, and operations. • Experience with configuring and operating modern, process and workflow automation solutions such as BMC. • Conceptual and practical understanding of IT Infrastr ...

Showing results 41-60

Retail Data information

See California salary details

$8

$15

$22

How much do retail data jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for retail data in California is $15.27, according to ZipRecruiter salary data. Most workers in this role earn between $12.79 and $17.07 per hour, depending on experience, location, and employer.

What is retail data?

Retail data refers to the information collected from retail operations, including sales transactions, inventory levels, customer behavior, and product performance. This data is used to analyze trends, optimize inventory, improve customer experience, and make informed business decisions. Retail data can come from point-of-sale systems, e-commerce platforms, loyalty programs, and other sources. By leveraging retail data, businesses can better understand their customers and market, ultimately driving growth and efficiency.

How does a retail data analyst typically collaborate with other departments to drive business decisions?

Retail Data Analysts work closely with teams such as merchandising, marketing, and inventory management to provide actionable insights from sales and customer data. They often participate in cross-functional meetings, presenting data-driven recommendations to optimize product assortment, pricing strategies, and promotional campaigns. Effective communication and teamwork are essential, as analysts must translate complex datasets into clear, impactful strategies that align with the broader business objectives.

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

To thrive as a Retail Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data visualization, often supported by a degree in mathematics, statistics, business, or a related field. Proficiency in tools like Excel, SQL, and analytics platforms such as Tableau or Power BI, along with familiarity with retail management systems, is typically required. Attention to detail, problem-solving skills, and effective communication help you interpret data insights and share findings with stakeholders. These skills are essential for driving data-informed decisions that optimize sales, inventory, and customer experiences in the retail sector.

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

AspectRetail DataRetail Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkDegree in data analysis, statistics, or related field; proficiency in data tools
Work EnvironmentData collection, management, and reporting in retail settingsAnalyzing retail data to generate insights, often in an office or remote setting
Employer & Industry UsageRetail companies, data service providersRetail chains, market research firms, analytics agencies
Search & Comparison IntentUnderstanding data roles in retailDistinguishing data management from analysis roles

Retail Data involves collecting and managing retail-related information, while Retail Data Analysts interpret this data to provide actionable insights. The analyst role requires more specialized skills and education, focusing on analysis and reporting, whereas Retail Data roles may focus more on data collection and maintenance.

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

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

Infographic showing various Retail Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $31,766 per year, or $15.3 per hour.

Associate Director of Digital Marketing Analytics

Synergy Direct LLC

San Diego, CA • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 10 days ago


Job description

We are looking for an Associate Director of Digital Marketing Analytics to serve as a strategic partner to our clients and internal teams. In this role, you aren’t just a producer of reports; you are a consultant who uses data to drive high-level business decisions.

You will provide senior-level analytical leadership for key client engagement, working directly with the Chief Data Officer to elevate our data delivery from simple reporting to strategic counsel and data quality stewardship. The ideal candidate is comfortable "in the weeds" of messy data but possesses the executive presence to challenge assumptions and present clear, actionable narratives to stakeholders.

Key Responsibilities for a Associate Director of Digital Marketing Analytics

  • Serve as the senior data voice - participating in strategy meetings and executive-level reporting.
  • Translate complex findings into clear narratives, focusing on the "so what" and recommended actions.
  • Anticipate client questions and build trust through consistent, accurate, and well-contextualized insights.
  • Take ownership of data quality across various sources, including third parties and partner agencies.
  • Diagnose tag-level issues and lead conversations to fix data inconsistencies at the source.
  • Establish processes to improve data reliability and catch issues before they become client-facing.
  • Track and interpret KPI trends across website, mobile apps, CRM, digital media, and D2C commerce.
  • Develop benchmarks, goals, and forecasts grounded in first- and third-party research.
  • Build and maintain dashboards (Looker Studio, PowerBI, Tableau) and develop bespoke analytical approaches when off-the-shelf solutions fall short.
  • Explore AI-assisted approaches to automate tasks and improve analysis workflows.
  • Partner with Creative, UX, Strategy, and Tech teams to ensure analytics inform every part of the engagement.
  • Coach junior analysts and account team members on data interpretation and presentation.

Requirements for a Associate Director of Digital Marketing Analytics

  • Experience: 7+ years in a data or analytics role, with at least 2 years in a senior or lead capacity.
  • Technical Proficiency: Strong expertise in Google Analytics 4 (GA4) and Google Tag Manager (GTM).
  • BI Tools: Expertise in at least one dashboard tool (Looker/Data Studio, Tableau, PowerBI).
  • Communication: Demonstrated experience presenting to and influencing non-technical senior client stakeholders.
  • Data Management: Proven track record of navigating messy or incomplete data environments to improve quality.
  • Domain Knowledge: Strong working knowledge of digital marketing data across web, app, paid media, email, and ecommerce.

Preferred Qualifications for a Associate Director of Digital Marketing Analytics

  • Prior agency or consulting experience.
  • Experience in data-rich categories such as Automotive or Retail.
  • Data Engineering: Exposure to ETL processes and tools (e.g., Supermetrics, Fivetran).
  • Experience Analytics: Familiarity with tools like ContentSquare or Quantum Metric.
  • Advanced Tech: Familiarity with CDP platforms and the application of Generative AI in analytics.