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Remote Part Time Data Analytics Jobs in California

We Vote

Google Analytics Specialist

Oakland, CA · On-site +1

We are a Fast Forward nonprofit technology grantee and a fully remote organization made up of 120 ... WeVote is a movement of over 120 active passionate, part-time volunteers (starting with the ...

Saalex

General Consideration

Ridgecrest, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Analytics and Business Intelligence Services and Information Technology Services. Position Types: Full-Time/Part-Time/Internship Work Location: Various positions available, hybrid remote/in ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246048 Location: San Diego,CA,US Share job via: Share Data Engineer ... You'll sharpen your skills in analytical exploration and data examination while you support the ...

YO AI Labs

AI Finance Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... analysis, valuation, and investment decision-making. * Assess and annotate financial data, reports ...

YO AI Labs

AI Finance Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... analysis, valuation, and investment decision-making. * Assess and annotate financial data, reports ...

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All JobsData Analytics JobsRemote Part Time Data Analytics JobsRemote Part Time Data Analytics Jobs in California

Remote Part Time Data Analytics information

What skills and qualifications are needed to thrive as a remote part time data analyst?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What is a remote part time data analyst?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What are common challenges faced by remote part time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.

What are popular job titles related to Remote Part Time Data Analytics jobs in California?

For Remote Part Time Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Part Time Data Analytics jobs in California look for?

The top searched job categories for Remote Part Time Data Analytics jobs in California are:

What cities in California are hiring for Remote Part Time Data Analytics jobs?

Cities in California with the most Remote Part Time Data Analytics job openings:

Remote Part Time Data Analytics jobs near you
Infographic showing various Remote Part Time Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Google Analytics Specialist

We Vote

Oakland, CA • On-site, Remote

Full-time, Part-time

Re-posted 2 days ago

Job description

* Fraud and Phishing Warning *
If you are reading this away from the WeVote site, please apply directly via our volunteering portal/ATS at https://wevote.applytojob.com/apply. Do not apply via any other job portals, aggregators, or sites, as your information may not be secure, or the role may no longer be accepting applications. Thank you!
⚠ This is a 100% unpaid volunteer position.
There is no salary, stipend, benefits, or promise of future paid employment.
About WeVote
WeVote is a nonpartisan, volunteer-powered nonprofit using technology to help voters make informed decisions and participate in democracy more easily. We are a Fast Forward nonprofit technology grantee and a fully remote organization made up of 120+ volunteers across the U.S.
We build open-source tools used by millions of voters, and we do it with a distributed team of people who care deeply about impact, collaboration, and sustainable volunteering.
About This Volunteer Role
WeVote has an open volunteer position for a Google Analytics Specialist (volunteer), for 3+ hours or more per week. You are an experienced professional with a passion for helping America navigate our current political environment. This is an opportunity to work remotely with our active team to help us get ready for multiple upcoming elections. Our ideal volunteer is passionate about politics and excited to use technology to educate voters and increase voter turnout. You'll also gain valuable technical skills, have opportunities for leadership development, and expand your personal and professional network.
About Us
WeVote is a nonpartisan get-out-the-vote nonprofit startup and a celebrated Fast Forward nonprofit technology grantee. WeVote is a movement of over 120 active passionate, part-time volunteers (starting with the founders) who build mobile technologies that will touch and mobilize millions of voters on Election Day. We believe that many voters are busy, distracted, and impatient. We have a goal of providing a positive voting experience that helps people decide how to vote. More information at https://WeVote.US or @WeVote on X.
Main Functional Role: This role requires 1-2 years of hands-on experience with Google Analytics and a deep understanding of web analytics and data interpretation. The Google Analytics Specialist will be responsible for implementing, managing, and analyzing web analytics solutions to provide actionable insights that drive business growth and improve the customer journey.
Key Interactions:
  • Collaborate with marketing, product management, and development teams.
  • Work closely with stakeholders to understand business requirements and translate them into technical specifications for web analytics.

Main Responsibilities:
  • Implement and manage Google Analytics tracking across various digital platforms.
  • Analyze website traffic and user behavior to identify trends, insights, and opportunities for optimization.
  • Create custom reports and dashboards to monitor key performance indicators (KPIs).
  • Conduct A/B testing and conversion rate optimization (CRO) to improve website performance.
  • Provide actionable recommendations based on data analysis to inform marketing strategies and product development.
  • Ensure data accuracy and integrity by performing regular audits and troubleshooting tracking issues.

Technical/Experience Requirements:
  • Bachelor's degree in Marketing, Data Science, Computer Science, or a related field.
  • 1-2 years of experience with Google Analytics, including implementation, management, and analysis.
  • Proficiency in Google Tag Manager for managing tracking codes and tags.
  • Experience with data visualization tools such as Looker, Tableau, or similar.
  • Strong understanding of web analytics concepts, including segmentation, funnel analysis, and attribution modeling.
  • Google Analytics certification is preferred
  • Familiarity with HTML, JavaScript, SQL, and Looker / Tableau Reports is a plus.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills to present insights and recommendations to non-technical stakeholders.

Mindset and Character:
  • Analytical thinker with a data-driven approach to decision-making.
  • Proactive and self-motivated with a strong sense of ownership and accountability.
  • Ability to work collaboratively in a team environment.
  • Detail-oriented with a commitment to maintaining data integrity and accuracy.
  • A willingness to work with and support other volunteers.
  • 3+ hours per week during our core team hours M-F 8 a.m. - 6 p.m. PT

How to apply:
Submit your resume (at https://wevote.applytojob.com/apply/) and include a brief note/cover letter to why you are interested in WeVote and helping our mission.

Apply