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Remote Data & Analytics Jobs in Berkeley, CA (NOW HIRING)

Data Engineer

San Francisco, CA ยท Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Data Engineer

San Francisco, CA ยท Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Sr Data Analyst - Store Analytics

Dublin, CA ยท On-site +1

$96K - $122K/yr

... Analytics team. The Sr Data Analyst - Store Analytics serves as a strategic analytics partner to ... from a remote office location Benefits This role is eligible for healthcare including medical ...

Sr. Data Platform Engineer

San Francisco, CA ยท On-site +1

$134K - $161K/yr

Partner with data analysts, data scientists, ML/AI engineers, BI developers, and business ... Employee divides their time between in-office and remote work. Access to an office location is ...

Data Engineer (Remote)

San Francisco, CA ยท On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is ... Design robust and scalable data models that support analytical and operational reporting ...

Trading Analyst

San Francisco, CA ยท On-site +1

$65K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Trading Analyst

San Francisco, CA ยท On-site +1

$65K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Sr Data Analyst - Marketing Analytics

Dublin, CA ยท On-site +1

$97K - $121K/yr

... Analytics team. The Sr Data Analyst - Marketing Analytics will partner closely with Marketing and ... from a remote office location Benefits This role is eligible for healthcare including medical ...

Senior Data Analyst

Foster City, CA ยท Remote

$80K - $130K/yr

... data-proven results * Strong analytical, organizational and problem-solving skills including ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Senior Data Analyst

San Francisco, CA ยท Remote

$101K - $127K/yr

United States (Remote) -- must be U.S.-based Type: Full-time -- Early team, high ownership Data ... This role exists to build the analytics foundation that leadership, product, and operations will ...

We are looking for an Operational Strategic Analyst to join our remote team and help translate complex data into meaningful business guidance. This position offers the chance to work closely with ...

This isn't a typical analyst role - you'll be the lead growth data scientist at Eight Sleep, owning ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Showing results 41-60

Remote Data Analytics information

See Berkeley, CA salary details

$30

$67

$115

How much do remote data & analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote data & analytics in Berkeley, CA is $67.03, according to ZipRecruiter salary data. Most workers in this role earn between $53.85 and $75.96 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

Is data & analytics a good career for remote work?

Data & analytics roles are well-suited for remote work because they primarily involve computer-based tasks such as data analysis, visualization, and reporting using tools like SQL, Python, or Tableau. Many companies offer remote positions for data analysts, data scientists, and business intelligence professionals, often requiring strong communication skills and familiarity with cloud-based platforms. Remote work in this field provides flexibility and access to a global job market, making it a viable option for many professionals.

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

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

Is it possible to work remotely as a remote data & analytics?

Remote data and analytics roles are widely available, with many companies offering flexible work arrangements. These jobs often require proficiency in tools like SQL, Python, or Tableau and may involve collaboration via cloud-based platforms, making remote work feasible for qualified candidates.
What are popular job titles related to Remote Data & Analytics jobs in Berkeley, CA? For Remote Data & Analytics jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data & Analytics jobs in Berkeley, CA look for? The top searched job categories for Remote Data & Analytics jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Data & Analytics jobs? Cities near Berkeley, CA with the most Remote Data & Analytics job openings:
Infographic showing various Remote Data & Analytics job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $139,431 per year, or $67 per hour.

Data Engineer

Swish Analytics

San Francisco, CA โ€ข Remote

$160K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We\'re looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. Weโ€™re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 2+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employerโ€™s discretion, this position may require successful completion of background and reference checks.