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Ecommerce Data Analytics Jobs in California (NOW HIRING)

They provide consumer-facing eCommerce experiences and high traffic CRM for our Coach network users ... Analyze data to determine requirements for a migration and updating of user data from one set of ...

E-COMMERCE SPECIALIST DEPARTMENT: RETAIL STATUS: FULL-TIME SUPERVISOR: E-COMMERCE SUPERVISOR or ... Regularly analyze sales data and customer feedback to identify areas for improvement and growth ...

The team is seeking a Consumer Data Analyst to help unlock the value of consumer and ecommerce data ... Prior experience in ecommerce, digital analytics, consumer analytics, or retail environments ...

The team is seeking a Consumer Data Analyst to help unlock the value of consumer and ecommerce data ... Prior experience in ecommerce, digital analytics, consumer analytics, or retail environments ...

Analyze marketing and sales performance data to create actionable insights, reports, and dashboards ... Strong knowledge of B2C eCommerce fundamentals: UX, design principles, content management ...

Analyze marketing and sales performance data to create actionable insights, reports, and dashboards ... Strong knowledge of B2C eCommerce fundamentals: UX, design principles, content management ...

Foster a team culture centered on ownership, accountability, analytical thinking, collaboration ... Experience using ecommerce and customer data to identify opportunities, evaluate performance, and ...

Foster a team culture centered on ownership, accountability, analytical thinking, collaboration ... Experience using ecommerce and customer data to identify opportunities, evaluate performance, and ...

Showing results 41-60

Ecommerce Data Analytics information

What is ecommerce data analytics?

Ecommerce Data Analytics involves collecting, analyzing, and interpreting data from online sales and customer interactions to improve business decisions. Professionals in this field use tools to track metrics like conversion rates, customer behavior, sales trends, and marketing effectiveness. The insights gained help ecommerce businesses optimize their operations, personalize customer experiences, and increase profitability. Ecommerce data analysts often work with large datasets, using statistical techniques and data visualization to uncover patterns and opportunities for growth.

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

AspectEcommerce Data AnalyticsEcommerce Data Analyst
Role FocusAnalyzing ecommerce data to derive insights and inform business strategiesCollecting, processing, and interpreting ecommerce data to support decision-making
Skills & CertificationsData analysis, statistics, business intelligence tools, possibly certifications in analytics or data scienceData analysis, Excel, SQL, visualization tools, often with similar certifications
Work EnvironmentTypically involves working with large datasets, dashboards, and cross-functional teamsHands-on data processing, reporting, and collaboration with marketing and sales teams

While both roles focus on ecommerce data, Ecommerce Data Analytics is broader, involving strategic analysis and insights, whereas Ecommerce Data Analyst is more about data collection, processing, and reporting. Both roles require similar skills and certifications, often working in similar environments within ecommerce companies.

What are the key skills and qualifications needed to thrive as an ecommerce data analyst?

To thrive as an Ecommerce Data Analyst, you need strong analytical skills, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Proficiency in data analytics tools such as Google Analytics, SQL, Excel, and data visualization platforms like Tableau is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and sharing actionable insights with stakeholders. These skills enable analysts to drive data-informed decisions that optimize online sales performance and customer experience.

How does an ecommerce data analytics professional typically interact with marketing and sales teams to drive business growth?

Ecommerce Data Analytics professionals play a pivotal role in collaborating with marketing and sales teams by providing actionable insights derived from customer behavior, sales trends, and campaign performance data. They regularly meet with these teams to discuss findings, recommend strategies for optimizing marketing spend, and identify opportunities for upselling or cross-selling. This collaborative environment not only helps align data-driven decisions with business goals, but also enables analytics professionals to see the direct impact of their work on revenue growth and customer engagement.

What does an ecommerce data analyst do?

An ecommerce data analyst collects, analyzes, and interprets sales, customer, and website data to identify trends and improve online business performance. They use tools like Excel, SQL, and analytics platforms to generate reports, support decision-making, and optimize marketing strategies. Strong analytical skills and knowledge of ecommerce platforms are essential for this role.
What are popular job titles related to Ecommerce Data Analytics jobs in California? For Ecommerce Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Ecommerce Data Analytics jobs in California look for? The top searched job categories for Ecommerce Data Analytics jobs in California are:
What cities in California are hiring for Ecommerce Data Analytics jobs? Cities in California with the most Ecommerce Data Analytics job openings:
Infographic showing various Ecommerce Data Analytics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Contractor

Re-posted 10 days ago


Job description

Company Description

Beachbody, a billion-dollar company and the leader of in-home fitness programs and nutritional products, is on the lookout for top-notch talent. We're an equal-opportunity employer who offers competitive compensation and incredible incentive opportunities, not to mention a laid-back office filled with smart, friendly people and positive energy. We also provide free Shakeology, onsite gyms, flexible work hours, and cool product discounts. Are you ready to help us achieve our goal of helping people live healthier, more fulfilling lives? 

Job Description

Why is the Technology team important to Beachbody?

Beachbody's technology team is leading the way for new opportunities in the digital realm focusing on health and fitness. They provide consumer-facing eCommerce experiences and high traffic CRM for our Coach network users which are supported by enterprise applications for Beachbody's order processing and fulfillment engine.

What will you be doing at Beachbody as a Product Data Analyst:

  • Analyze data to determine requirements for a migration and updating of user data from one set of back-end systems to another, to facilitate an international site launch.
  • Iteratively document requirements, based on the above analysis, to give engineers information they need to code and test this data migration effort.
  • Work with engineers to analyze results of development efforts to determine if it meets requirements/acceptance criteria.
  • Clarify requirements with engineers, confirm requirements with stakeholders.  Speak both languages (business and tech) effectively to ensure shared understanding.
  • Collaborate with Product Managers, stakeholders from various business groups, engineering and program management.
  • Identify edge cases and work with stakeholders to determine best course of action, when there may be no perfect answer.
  • Document decisions made in meetings.  Ensure team is making data-driven decisions when it comes to the data migration efforts associated with the international site launch.
Qualifications

We'd love to chat if you have:

  • BA / BS degree in related field; with 4 plus years of experience in data analysis role
  • Strong understanding of how decisions on how to handle data impact a business process, a customer experience or a system flow
  • Advanced MS Excel skills required
  • Strong SQL skills required
  • Experience querying Oracle databases required
  • Strong understanding of B2C/eCommerce data elements (customers, orders, products) a plus
  • Technology Product Management experience a plus (discovery, stakeholder liaison, prioritization, requirements writing, etc.).
  • Excellent verbal and written communication and interpersonal.
  • Strong business acumen, strategic planning, analytical and quantitative skills required.
Additional Information

All your information will be kept confidential according to EEO guidelines.