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Remote Analytics Engineer Jobs in Berkeley, CA (NOW HIRING)

... 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 ...

Tennis Data Scientist

San Francisco, CA ยท On-site +1

$135K - $190K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Soccer Data Scientist

San Francisco, CA ยท On-site +1

$130K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Software Engineer

San Francisco, CA ยท Remote

$60 - $80/hr

Remote Software Engineer (USA Only) | $60 - $80 per hour Are you a software engineer who thrives in ... in a remote environment. * Excellent problem-solving skills and a strong analytical mindset.

US (Hybrid/Remote as applicable) Role Overview Rodan + Fields is seeking a highly skilled Manager ... Partner with analytics and data engineering resources to automate datasets, reporting layers, and ...

Showing results 21-40

Remote Analytics Engineer information

See Berkeley, CA salary details

$55.7K

$114.1K

$165.9K

How much do remote analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote analytics engineer in Berkeley, CA is $114,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $144,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

Can you work remotely in data analytics?

Remote analytics engineers can work from anywhere with a reliable internet connection, as many data analysis tasks involve using cloud-based tools and programming languages like Python or SQL. Employers increasingly offer remote positions, especially for roles that focus on data modeling, visualization, and reporting, often requiring strong communication skills and familiarity with collaboration platforms.
What are popular job titles related to Remote Analytics Engineer jobs in Berkeley, CA? For Remote Analytics Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Berkeley, CA look for? The top searched job categories for Remote Analytics Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Analytics Engineer jobs? Cities near Berkeley, CA with the most Remote Analytics Engineer job openings:
Infographic showing various Remote Analytics Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,092 per year, or $54.9 per hour.

Trading Analyst

Swish Analytics

San Francisco, CA โ€ข Remote

$65K/yr

Full-time

Re-posted 13 days ago


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 - This position is 100% Remote

Duties:

  • Manage client risk, ensuring the highest margins on Swish products through +EV decisions

  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings

  • Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets

  • Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions

Requirements:

  • Minimum of 3 years of in-game play experience at an online sportsbook

  • Deep understanding of sports betting and odds origination

  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football

  • Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly

  • Results driven work ethic – focused on improving process, results and profitability

  • Availability to work flexible schedules, including nights, weekends and/or holidays

Preferred:

  • Bachelor’s Degree in a STEM discipline

  • An understanding of relational database systems (MySQL)

  • Experience working with cross functional teams (Data Science teams a plus)

Salary: $65,000 - 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 employer’s discretion, this position may require successful completion of background and reference checks.