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Google Analytics Remote Jobs in California (NOW HIRING)

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Marketing Technology Manager

Palo Alto, CA · On-site +1

$115K - $130K/yr

Remote - USA Compensation: $115,000 - $130,000 / year Description Celebrating 20 years of ... Proficiency in Google Analytics (GA4) * Expertise in Google Tag Manager * Experience with marketing ...

Marketing Operations Manager

Palo Alto, CA · On-site +1

$115K - $130K/yr

Remote - USA Reporting To: Emma Vitto Compensation: $115,000 - $130,000 / year Description ... Proficiency in Google Analytics (GA4) * Expertise in Google Tag Manager * Experience with marketing ...

As a Quality Analyst, you will enrich leads for our clients and ensure that quality is on par with ... Familiarity with Microsoft Excel/Google Sheets * Previous experience in lead generation/lead ...

$85K/yr

At this time, Monks offers a hybrid in-office / remote policy dependent on the candidate ... particularly Google Analytics, is a distinct advantage At Monks, we believe in fostering an ...

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Showing results 41-60

Google Analytics Remote information

See California salary details

$9

$51

$78

How much do google analytics remote jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for google analytics remote in California is $51.57, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $64.28 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in a remote Google Analytics role?

A typical day in a remote Google Analytics role involves monitoring website and app performance, creating and reviewing reports, and collaborating with marketing or development teams to recommend optimizations based on data insights. You’ll frequently meet virtually with stakeholders to discuss campaign performance, manage and troubleshoot tracking tags, and identify new opportunities for analysis. Remote roles offer autonomy and flexibility, but also require regular communication through project management systems and video conferencing. The work is dynamic, with a mix of independent analysis and team-based problem solving, allowing you to make a significant impact on digital strategies from anywhere.

What are the key skills and qualifications needed to thrive in the Google Analytics Remote position, and why are they important?

To thrive as a Google Analytics Remote professional, you need strong analytical skills, expertise in web analytics, and a solid understanding of digital marketing or e-commerce, often supported by a relevant degree or certification such as Google Analytics Individual Qualification (GAIQ). Familiarity with Google Analytics platforms, Google Tag Manager, data visualization tools like Google Data Studio, and possibly basic coding (HTML, JavaScript) is crucial. Excellent communication, attention to detail, and the ability to self-manage in a remote environment distinguish top performers. These skills help ensure accurate data interpretation, actionable insights, and effective collaboration with cross-functional teams across digital initiatives.

How can I make 2000 a week working from home?

To earn $2000 weekly working remotely with a focus on Google Analytics, you can offer freelance analytics consulting, manage digital marketing campaigns, or provide data analysis services. Building a strong portfolio, acquiring relevant certifications, and using platforms like Upwork or Fiverr can help attract clients and increase income potential.

Is data analytics a good career for remote work?

Data analytics roles, including positions like Google Analytics specialists, are well-suited for remote work due to their focus on digital tools and online data analysis. These jobs often require proficiency with analytics platforms, data visualization, and communication skills, making remote collaboration feasible and common in the industry.

What is a Google Analytics Remote job?

A Google Analytics Remote job involves using Google Analytics to track, analyze, and report website traffic and user behavior while working from a remote location. Professionals in this role interpret data, create reports, and provide insights to optimize website performance. Common responsibilities include setting up tracking codes, segmenting audiences, and identifying trends to improve digital strategies. This job is ideal for data analysts, marketers, and SEO specialists who specialize in web analytics.

How to make $1000 a week remote?

A remote Google Analytics professional can earn $1000 or more weekly by securing freelance or contract projects, building a strong portfolio, and gaining certifications like Google Analytics Individual Qualification (GAIQ). Consistent work, specialized skills, and a reliable client base are essential to reach this income level remotely.
What are the most commonly searched types of Google Analytics jobs in California? The most popular types of Google Analytics jobs in California are:
What cities in California are hiring for Google Analytics Remote jobs? Cities in California with the most Google Analytics Remote job openings:
Infographic showing various Google Analytics Remote job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $107,269 per year, or $51.6 per hour.
Python Integrations Developer

Python Integrations Developer

Extractable

San Francisco, CA • Remote

$59.25 - $81.50/hr

Full-time

Posted 13 days ago


Job description

About Finalytics.ai

Finalytics.ai is a leading fintech company delivering AI-powered personalization solutions purpose-built for credit unions and community financial institutions. Our platform helps member-focused organizations deepen relationships, drive growth, and deliver the right financial products to the right members at the right moment. We are a lean, mission-driven team passionate about the positive impact community financial institutions have on the people they serve.


The Role

We're looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You'll be the go-to person for building, maintaining, and troubleshooting integrations with digital banking platforms (Q2, Banno, Alkami), CRM systems (HubSpot, Salesforce), loan origination and account opening systems, and other vendor APIs.

This is a hands-on technical role with a client-facing dimension. You'll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and support teams, and coordinate with our clients' IT departments to get integrations live. You'll need to be comfortable reading API docs, parsing data formats, and solving the messy real-world problems that come with connecting disparate systems.


What You'll Work On

  • Digital Banking Integrations - Build and maintain connections with Q2, Banno (Jack Henry), Alkami, and other digital banking platforms to ingest member data, account information, and transaction feeds
  • CRM Integration - Own integrations with HubSpot and Salesforce: contact syncing, deal tracking, custom property mapping, and workflow automation
  • Loan Origination & Account Opening - Connect with MeridianLink, Origence, Fiserv, nCino, Blend, Withclutch, and other LOS/OAO platforms to track application funnels and conversion data
  • Client Onboarding - Work with new clients to configure and test integrations during setup, including credential management, field mapping, and data validation
  • Monitoring & Troubleshooting - Build alerting and logging around integration health; diagnose and resolve data sync failures, authentication issues, and schema changes


Key Integrations

  • Digital Banking: Q2, Banno (Jack Henry), Alkami, Digital Insight (NCR Voyix), Fizerv
  • CRM: Hubspot, Salesforce
  • LOS/OAO: MeridianLink, Origence, Fiserv,(OpenNow/Originate), nCino, Blend, Withclutch.
  • Analytics: Google Analytics 4, Google BigQuery, Google Tag Manager, Looker


Requirements

Must Have

  • 3+ years experience building and maintaining third-party API integrations - REST, SOAP, webhooks, file-based data exchange
  • Python proficiency - comfortable writing production Python code; Django experience preferred but not required if you can learn quickly
  • Financial services / digital banking experience - experience with one or more of: Q2, Jack Henry (Banno), Alkami, Bankjoy, Fiserv, or similar platforms
  • API troubleshooting skills - ability to diagnose auth failures, data mapping issues, rate limiting, and schema mismatches using logs, API docs, and tools like Postman
  • Clear communication - you'll coordinate with client IT teams, vendor support, and internal developers; ability to translate technical issues for non-technical stakeholders
  • Self-directed problem solving - vendor docs are often incomplete; you need to be comfortable figuring things out through experimentation, vendor support tickets, and reading source code

Nice to Have

  • HubSpot or Salesforce API experience - contact management, custom properties, workflow automation, deal pipelines
  • LOS/OAO systems - MeridianLink, Origence, nCino, Blend, Withclutch, or similar loan origination/account opening platforms
  • OAuth 2.0 / authentication protocols - implementing auth flows for third-party services
  • Google BigQuery or analytics platforms - writing analytical queries, working with GA4 event data
  • Experience working with credit unions or banks - understanding member data, account structures, and regulatory considerations

What We Value

  • Reliability over cleverness - integrations must work consistently; prefer simple, well-tested solutions over elegant but fragile ones
  • Vendor relationship skills - ability to work effectively with third-party support teams, escalate issues appropriately, and maintain productive relationships
  • Security mindset - handling sensitive financial data means thinking about encryption, access control, credential management, and data retention

Work Style

  • Small engineering team with direct access to product decisions
  • Two-week sprint cycles with regular deployments
  • Mix of building new integrations, maintaining existing ones, and supporting client onboarding
  • Direct interaction with clients during integration setup and troubleshooting
  • AI-assisted development tools available (Claude Code, GitHub Copilot)


Location

This is a remote position. We prefer candidates located in Central US time zones for coverage across our client base, but we're flexible for the right candidate.


What We Offer

  • Competitive salary ($100,000 - $130,000 based on experience)
  • Remote-first culture
  • Opportunity to grow with a scaling fintech company
  • Direct impact on client success and company growth
  • Collaborative, low-ego team environment