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Data Analyst R Jobs in California (NOW HIRING)

Strong Python or R experience for data analysis, modeling, and automation. * Experience with data visualization tools (Looker, Tableau, Power BI). * Hands-on experience with A/B testing ...

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data ... Python, R, or similar tools is a plus • Ability to clearly communicate findings and work ...

Senior Data Analyst

Palo Alto, CA

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... Deep expertise in SQL. Experience in Python and R a plus * Bachelor's degree in mathematics ...

Working knowledge of scripting languages for statistical analysis, data wrangling, and automation (e.g., Python or R) * Demonstrated experience leveraging machine learning and predictive analytics to ...

People Data Analyst

El Segundo, CA · On-site

$150K - $200K/yr

In this role, you will leverage data to inform critical decisions about our workforce, improve ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

In this role, you will leverage data to inform critical decisions about our workforce, improve ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

Data Analyst III

Carlsbad, CA · On-site

$83K - $100K/yr

Working knowledge of scripting languages for statistical analysis, data wrangling, and automation (e.g., Python or R) * Demonstrated experience leveraging machine learning and predictive analytics to ...

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... Deep expertise in SQL. Experience in Python and R a plus * Bachelor's degree in mathematics ...

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as the ... Experience with R or Python * Experience with BI tools (Tableau, Looker, etc.) * Excellent ...

Sr. Data Analyst

San Francisco, CA · On-site

$90K - $130K/yr

... R, Python, etc.) - Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.) - You have strong analytical and problem-solving skills, with a ...

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

... R, Python, etc.) - Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.) - You have strong analytical and problem-solving skills, with a ...

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

... R, Python, etc.) - Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.) - You have strong analytical and problem-solving skills, with a ...

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Data Analysts support the development and optimization of strategic initiatives by generating ... using R, Python, and other programming languages * Develop technical as well as process-based ...

Showing results 41-60

Data Analyst R information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst r jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data analyst r in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is the highest paying data analyst job?

Senior data analyst roles, especially those involving advanced skills in machine learning, big data tools, and business intelligence platforms, tend to offer the highest salaries for data analysts. Positions in finance, technology, and consulting industries often provide higher compensation, with some senior or specialized roles earning over $100,000 annually depending on experience and location.

What is a Data Analyst R job?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

Can you use R for data analysis?

Data Analysts often use R for data analysis because it offers extensive statistical and graphical capabilities, along with a wide range of packages for data manipulation and visualization. Proficiency in R can enhance a data analyst's ability to interpret complex datasets and generate insights efficiently.

What are the key skills and qualifications needed to thrive in the Data Analyst R position, and why are they important?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

Is R important for data analysts?

R is an important tool for data analysts as it provides extensive statistical and data visualization capabilities. Proficiency in R can enhance data analysis, modeling, and reporting skills, making it a valuable skill in many data-focused roles.

Do data analysts still use R?

Data analysts still use R as it remains a popular programming language for statistical analysis, data visualization, and data manipulation. Many organizations value R for its extensive package ecosystem and open-source nature, often alongside tools like Python and SQL. Proficiency in R can enhance a data analyst's ability to perform complex analyses and communicate insights effectively.

What does a typical day look like for a Data Analyst R, and how do they work with other teams?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

What cities in California are hiring for Data Analyst R jobs? Cities in California with the most Data Analyst R job openings:
Infographic showing various Data Analyst R job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Senior Data Analyst

Senior Data Analyst

1 point system

Sunnyvale, CA • On-site

$40/hr

Contractor

Posted 12 days ago


Job description

Job Title

Senior Data Analyst

Location

Hybrid – Sunnyvale, CA (2 days onsite/week)

Pay Rate

$40/hr. on W2

About the Role

We are seeking a Senior Data Analyst to join Walmart’s Marketplace Partner Payments team. This role focuses on data-driven payment analysis, chargeback optimization, automation, risk mitigation, and operational excellence.

You will collaborate cross-functionally with Product, Engineering, Risk, and Operations teams to drive business growth and improve the partner settlement experience. This is a high-impact role for someone passionate about using data to influence business decisions.

Key Responsibilities

  • Analyze and optimize the end-to-end chargeback process, identifying root causes, trends, and automation opportunities.
  • Develop and maintain dashboards, reports, and analytical models to monitor chargeback performance, seller impact, and financial exposure.
  • Partner with Product, Engineering, Risk, and Operations to design data-driven solutions that improve resolution efficiency.
  • Enhance chargeback visibility and transparency for sellers through actionable insights and reporting.
  • Apply advanced analytics and statistical methods to inform policy decisions and mitigate financial risk.
  • Support scaling of settlement and chargeback processes across global marketplaces.

Success Criteria

  • Strong analytical and problem-solving mindset.
  • Ownership mentality with measurable impact delivery.
  • Data-first decision-making approach.
  • Excellent collaboration and communication skills.
  • Ability to translate complex analysis into actionable business insights.
  • Results-driven and self-motivated professional.

Required Qualifications

  • Master’s degree in Data Science, Statistics, Computer Science, Economics, or related field.
  • 4+ years of experience in Payments, Risk, FinTech, or Marketplace Analytics.
  • Advanced SQL expertise (BigQuery, Redshift, Snowflake, or similar cloud platforms).
  • Strong Python or R experience for data analysis, modeling, and automation.
  • Experience with data visualization tools (Looker, Tableau, Power BI).
  • Hands-on experience with A/B testing, experimentation frameworks, and causal inference.
  • Ability to influence cross-functional roadmaps.

Preferred Qualifications

  • Experience with real-time data systems.
  • Familiarity with fraud detection models and decisioning platforms.
  • Experience supporting global marketplace operations.

Thanks and Regards

Monu Singh Chauhan 1Point System LLC
Technical Recruiter
  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

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