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Remote Data Analyst R Programming Jobs in Walnut Creek, CA

SupportFinity

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

... programming languages such as Python or R, with the ability to manipulate and analyze data efficiently. • Adept at working with large datasets, utilizing statistical techniques to extract ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ... 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

$90K - $130K/yr

... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

QuinStreet

Data Analyst

Foster City, CA · Remote

$85K - $100K/yr

Experience in R or Python is required * Experience with Tableau or other related Business ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ...

Dearest Care

Senior Data Analyst

San Francisco, CA · Remote

$101K - $127K/yr

United States (Remote) -- must be U.S.-based 💼 Type: Full-time -- Early team, high ownership ... Write advanced SQL * Partner with product and engineering to refine schemas and data models.

Turo

Data Analyst

San Francisco, CA · On-site +1

$134K - $176K/yr

Work closely with Data Engineering and BI teams to improve reporting infrastructure. * Maintain ... Telecommuting and/or remote employment permitted. For this role, the target base salary range in ...

QuinStreet

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

Experience in R or Python is required * Experience with Tableau or other related Business ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Wand

Product Data Analyst

San Francisco, CA · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

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All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Walnut Creek, CA

Remote Data Analyst R Programming information

See Walnut Creek, CA salary details

$37.7K

$91.5K

$150.6K

How much do remote data analyst r programming jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote data analyst r programming in Walnut Creek, CA is $91,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $107,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Walnut Creek, CA? The most popular types of Data Analyst R Programming jobs in Walnut Creek, CA are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Walnut Creek, CA? For Remote Data Analyst R Programming jobs in Walnut Creek, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Walnut Creek, CA look for? The top searched job categories for Remote Data Analyst R Programming jobs in Walnut Creek, CA are:
What cities near Walnut Creek, CA are hiring for Remote Data Analyst R Programming jobs? Cities near Walnut Creek, CA with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Walnut Creek, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $91,517 per year, or $44 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 13 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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