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Remote Data Analyst Jobs in San Ramon, CA (NOW HIRING)

QuinStreet

Data Analyst

Foster City, CA · Remote

$85K - $100K/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 ...

SupportFinity

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive informed business decisions. You will work closely with cross-functional teams ...

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

In this role, you'll not only analyze data to generate insights but also help connect and organize ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$101K - $127K/yr

In this role, you'll not only analyze data to generate insights but also help connect and organize ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

QuinStreet

Senior Data Analyst

Foster City, CA · 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 ...

Midi Health

Data Analyst, Growth

Palo Alto, CA · On-site +1

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale our D2C and B2B segments (partnering with health systems and employers) and deepen our analytical ...

Arlo Technologies, Inc.

Senior Data Analyst

Milpitas, CA · On-site +1

$130K - $160K/yr

The Role We'relooking for aSenior Data Analystto join our fast-paced,insight-driven Product & Business Analytics team. In this role,you'lltake ownership of complex, high-impact projects, provide ...

Initio Capital

Data Strategy Analyst

San Francisco, CA · On-site +1

... remote, flexible environment - Collaborate with operators, founders, consultants, analysts, and ... data, or operations is helpful but not required WHY APPLY Career Launch helps candidates build ...

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All JobsRemote Data Analyst JobsRemote Data Analyst Jobs in San Ramon, CA

Remote Data Analyst information

See San Ramon, CA salary details

$38K

$92.4K

$152K

How much do remote data analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote data analyst in San Ramon, CA is $92,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $108,400.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in San Ramon, CA? The most popular types of Data Analyst jobs in San Ramon, CA are:
What are popular job titles related to Remote Data Analyst jobs in San Ramon, CA? For Remote Data Analyst jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in San Ramon, CA look for? The top searched job categories for Remote Data Analyst jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Data Analyst jobs? Cities near San Ramon, CA with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in San Ramon, CA as of June 2026, with employment types broken down into 37% Full Time, 55% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,352 per year, or $44.4 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 9 days ago

Job description

Company Description
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.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

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.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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