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Remote Web Analytics Jobs in California (NOW HIRING)

RH is seeking a Temporary Web Merchandising Specialist to support the day-to-day operations of our digital storefront. This temporary role plays an important part in maintaining accurate product ...

... web analytics firms, investment funds, web developers, and many more. Description WhoisXML API is hiring a Technical Account Executive (TAE) to join our remote team. TAEs are responsible for creating ...

... web analytics firms, investment funds, web developers, and many more. Description WhoisXML API is hiring a Technical Account Executive (TAE) to join our remote team. TAEs are responsible for creating ...

... web analytics firms, investment funds, web developers, and many more. Description WhoisXML API is hiring a Technical Account Executive (TAE) to join our remote team. TAEs are responsible for creating ...

Senior Strategic Finance Associate

San Francisco, CA · On-site +1

$128K - $175K/yr

Powering this is an industry-leading platform that combines product and web analytics, session ... Remote Compensation The amount listed below is the total target cash compensation (TTCC) and ...

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Remote Web Analytics information

See California salary details

$22

$50

$73

How much do remote web analytics jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for remote web analytics in California is $50.71, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $62.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Web Analytics professional, and why are they important?

To thrive as a Remote Web Analytics professional, you need strong analytical skills, experience with data interpretation, and a background in marketing or statistics, often supported by a relevant degree. Proficiency with web analytics tools like Google Analytics, Tag Manager, and data visualization platforms, as well as certifications such as Google Analytics Individual Qualification (GAIQ), is typically required. Attention to detail, problem-solving ability, and clear communication are vital soft skills for translating complex data into actionable business insights. These skills are crucial for driving data-informed decisions and optimizing digital strategies in a remote work environment.

How does a Remote Web Analytics professional typically collaborate with marketing and development teams?

As a Remote Web Analytics professional, you will regularly collaborate with both marketing and development teams to ensure data-driven decision making. This often involves translating business objectives into measurable KPIs, setting up tracking implementations, and providing actionable insights through regular reports and presentations. You may participate in virtual meetings to align on campaign goals, troubleshoot tracking issues with developers, and recommend optimization strategies to marketers. Strong communication and project management skills are essential for effective cross-functional collaboration in a remote environment.

What Are Remote Web Analytics Jobs?

Some remote web analytics jobs include titles such as digital marketing analyst, digital analyst, and Agile analyst. The responsibilities of a work from home digital marketing analyst include creating digital marketing campaigns, advising marketing teams, performing data analysis, managing pay-per-click accounts, and writing marketing reports. A digital analyst’s duties include executing and designing paid media campaigns and search engine marketing, isolating and identifying key performance indicators, and developing metrics to track website visitors and clicks and report analysis findings. An Agile analyst thoroughly evaluates client needs; develops, supports, and identifies business process changes; creates detailed acceptance criteria and user stories; and acts as the primary for customer products by working on stand-ups, retrospectives, and demos.

What is remote web analytics?

Remote web analytics refers to the process of collecting, measuring, and analyzing website data from a remote location, rather than working onsite. Professionals in this field use specialized tools to track user behavior, traffic sources, and website performance metrics to help organizations optimize their online presence. They typically work for companies or as freelancers, collaborating with teams through digital communication tools. This setup offers flexibility and allows businesses to access a broader talent pool.

What is the difference between Remote Web Analytics vs Remote Data Analyst?

AspectRemote Web AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Marketing, Analytics, or related field; familiarity with web analytics toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentPrimarily digital, focused on website data and online marketing platformsVaried, including business, finance, healthcare, analyzing diverse datasets
Employer & Industry UsageMarketing agencies, e-commerce, tech companiesFinancial institutions, consulting firms, healthcare organizations
Common Search & Comparison IntentUnderstanding roles related to web data and online marketingComparing data analysis roles across industries

Remote Web Analytics focuses on analyzing website data to optimize online performance, often within marketing teams. Remote Data Analysts handle broader datasets across various industries, providing insights for strategic decisions. While both roles require analytical skills and familiarity with data tools, their focus areas and typical environments differ.

What are the most commonly searched types of Web Analytics jobs in California? The most popular types of Web Analytics jobs in California are:
What are popular job titles related to Remote Web Analytics jobs in California? For Remote Web Analytics jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Web Analytics jobs? Cities in California with the most Remote Web Analytics job openings:

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

San Francisco, CA • Remote

$150K - $250K/yr

Full-time

Posted 2 days ago


Job description

Career Renew is recruiting for one of its clients a Senior Analytics Engineer (Mandarin Speaker) - this is a fully remote role for US-based candidates. Salary range: 150-250K USD base plus benefits plus equity.
We are building the TikTok of interactive mini-apps — a consumer social platform where users scroll a feed of playable experiences and create their own simply by describing what they want. Our AI-powered creation flow turns natural language into shareable, interactive content. Backed by a16z, Mayfield, and Khosla, founded in 2024, and already at 1M+ MAUs.

We are looking for a Senior Analytics Engineer with 4+ years of experience to build the data modeling and analytics layer from the ground up at a fast-growing consumer social platform. This is a founding role – you'll own the transformation layer that turns raw product events, backend logs, and operational data into clean, reliable datasets powering product analytics, experimentation, growth insights, and company-wide metrics. You'll work closely with product, engineering, growth, and leadership to define how the company understands user behavior, content performance, and retention. This is ideal for someone who thrives in ambiguity, loves building practical v1s quickly, and wants outsized ownership at an early-stage company.

What you will be doing

  • Designing and maintaining core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables

  • Defining and operationalizing company-wide metrics – DAU, retention, creator supply, content engagement, funnel conversion, and growth efficiency

  • Building dashboards and self-serve data products that help teams track product performance and diagnose issues quickly

  • Partnering with product and engineering to improve event taxonomy, instrumentation quality, and data consistency across app, web, and backend

  • Establishing data quality standards, testing, documentation, and freshness checks so the team can trust the numbers

Requirements:
4 - 10 years of experience in analytics engineering or data engineering (Mandatory)
Built data models from raw events at a VC-backed startup or reputable consumer company (e.g., TikTok, Instagram, Snap) (Mandatory)
Experience at a consumer social, gaming, or creator platform (Nice-to-have)
Built analytics engineering function at early-stage startup (Nice-to-have)
Advanced SQL proficiency for designing reusable canonical data models (Mandatory)
Experience with BigQuery, Snowflake, or similar modern warehouses (Mandatory)