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Data Analyst R Jobs in California (NOW HIRING)

Data Analyst I

Signal Hill, CA · On-site +1

$114K - $140K/yr

Write queries and scripts using SQL and Python or R to extract and analyze data efficiently. * Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic ...

Job Requirements · 8+ years of work experience involving quantitative data analysis is preferred ... R, or PyCharm · Self-starter who attacks the problem with excellent critical-thinking skills ...

Data Analyst

Oakland, CA · Hybrid

$120K - $172K/yr

Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems. * Understanding of the fundamentals of relational databases and data ...

... R, SAS, Matlab, etc.). • 2+ years of data visualization experience using AWS QuickSight, Tableau ... analysis. • Work in big data set. • Data analytics, QuickSight experience. Company : US Tech ...

Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with Microsoft SharePoint and the broader Microsoft ...

Data Analyst - Intermediate Location: Universal City, CA 91608 Duration: 6 Months Job Type ... Strong proficiency with SQL, technical skill and experience with Python, R, Tableau, Looker, Amazon ...

Apply Early

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 ...

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 ...

Apply Early

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Sr. Data Analyst

San Francisco, CA · On-site +1

$101K - $127K/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 ...

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Showing results 1-20

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 2, 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 job categories do people searching Data Analyst R jobs in California look for? The top searched job categories for Data Analyst R jobs in California are:
What cities in California are hiring for Data Analyst R jobs? Cities in California with the most Data Analyst R job openings:
Data Analyst I

Data Analyst I

Tristar Insurance

Signal Hill, CA • On-site, Remote

$114K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

POSITION SUMMARY: In this role, you will support data analysis, data modeling, and data warehousing efforts that directly impact our business, business partners, and clients in claims, underwriting, and risk assessment strategies. Whether you're a recent graduate or early in your career, this position offers a strong foundation in data science, data warehousing, and insurance analytics, with opportunities for growth and development.
DUTIES AND RESPONSIBILITIES:
  • Assist in building data warehouse, dashboards, and reporting tools for actuarial, claims, and underwriting teams.
  • Collaborate with business units to develop data-driven insights for loss prevention and reserve modeling.
  • Clean, organize, and merge structured data from internal and third-party sources.
  • Write queries and scripts using SQL and Python or R to extract and analyze data efficiently.
  • Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic planning.
  • Analyze claims, policy, and exposure data to identify trends in injury types, loss costs, and claim durations.
  • Apply basic statistical techniques or predictive models to support pricing, claims triage, or fraud detection.
  • Strong SQL development skillset in Postgres or any RDBMS database, data warehouse experience, Python, or Java core programming as a plus

PREFERRED SKILLS (Not Required)
  • Knowledge of workers' compensation insurance and claims workflows
  • Internship or project experience in insurance analytics, risk modeling, or predictive modeling.
  • Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO).

QUALIFICATIONS REQUIRED:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 0-3 years of experience in data science, analytics, or insurance-related projects (academic or professional).
  • Familiarity with data tools such as SQL, Python, R, or SAS.
  • Familiarity with Data warehouse techniques and practices
  • Hands on any data warehouse product
  • Exposure to data visualization tools (e.g., Power BI, Tableau).
  • Strong attention to detail, curiosity, and willingness to learn industry-specific data concepts.
  • Ability to work independently and collaboratively with cross-functional teams.

Here are some of the benefits you can enjoy in this role:
  • Medical, Dental, Vision Insurance
  • Life and Disability Insurance
  • 401(k) plan
  • Paid time off
  • Paid holidays

Mental and Physical Requirements:
MENTAL AND PHYSICAL REQUIREMENTS
1. MENTAL EFFORT
a. Reasoning development::
Follow one- or two-step instructions; routine, repetitive task.
Carry out detail but uninvolved written or verbal instructions; deal with a few concrete variables.
Follow written, verbal, or diagrammatic instructions; several concrete variables.
X Solve practical problems; variety of variables with limited standardization; interpret instructions.
Logical or scientific thinking to solve problems; several abstract and concrete variables.
Wide range of intellectual and practical problems; comprehend most obscure concepts.
b. Mathematical development:
Simple additional and subtraction; copying figures, counting, and recording.
Add, subtract, multiply, and divide whole numbers.
X Arithmetic calculations involving fractions, decimals, and percentages.
Arithmetic, algebraic, and geometric calculations.
Advanced mathematical and statistical techniques such as calculus, factor analysis, and probability determination.
Highly complex mathematical and statistical techniques such as calculus, factor analysis, and probability determination; requires theoretical application.
c. Language development:
Ability to understand and follow verbal or demonstrated instructions; write identifying information; request supplies verbally or in writing.
Ability to file, post, and mail materials; copy data from one record to another; interview to obtain basic information such as age, occupation, and number of children; guide people and provide basic direction.
Ability to transcribe dictation; make appointments and process mail; write form letters or routine correspondence; interpret written work instructions; interview job applicants.
X Ability to compose original correspondence, follow technical manuals, and have increased contact with people.
Ability to report, write, or edit articles for publication; prepare deeds, contracts or leases, prepare and deliver lectures; interview, counsel, or advise people; evaluate technical data.
2. PHYSICAL EFFORT
a. Physical activity required to perform the job:
Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
X Light work:
a. Exerting up to 20 pounds of force occasionally b. Exerting up to 10 pounds frequently
c. Exerting a negligible amount of force constantly to move objects
(If the use of arm and/or leg controls requires exertion of forces greater than that for Sedentary
Work and the worker sits most of the time, the job is rated for Light Work).
Medium work:
a. Exerting up to 50 pounds of force occasionally b. Exerting up to 20 pounds of force frequently
c. Exerting up to 10 pounds of force constantly to move objects
Heavy work:
a. Exerting up to 100 pounds of force occasionally b. Exerting up to 50 pounds of force frequently
c. Exerting up to 20 pounds of force constantly to move objects
Very heavy work:
a. Exerting in excess of 100 pounds of force occasionally
b. Exerting in excess of 50 pounds of force constantly to move objects c. Exerting in excess of 20 pounds of force constantly to move objects
b. Visual requirements necessary to perform the job:
Far vision: clarity of vision at 20 feet or more
X Near vision: clarity of vision at 20 inches or less
X Mid-range vision: clarity of vision at distances of more than 20 inches and less than 20 feet
Depth perception: the ability to judge distance and space relationships, so as to see objects where and as they actually are
Color vision: ability to identify and distinguish colors
Field of vision: ability to observe an area up or down or to the right or left while eyes are fixed on a given point
2. PHYSICAL EFFORT (cont.)
FREQUENCY
c. Physical activity necessary to perform the job and frequency (e.g., continually, frequently, or occasionally):
Climbing: Ascending or descending ladders, stairs, scaffolding, ramps, poles, and
the like, using feet and legs and/or hands and arms. Body agility is emphasized. This factor is important if the amount and kind of climbing required exceeds that required for ordinary locomotion.
Balancing: Maintaining body equilibrium to prevent falling when walking, standing, or crouching on narrow, slippery, or erratically moving surfaces. This factor is important if the amount and kind of balancing exceeds that needed for ordinary locomotion and maintenance of body equilibrium.
X Stooping: Bending body downward and forward by bending spine at the waist.
This factor is important if it occurs to a considerable degree and requires full use of the lower extremities and back muscles.
X Kneeling: Bending legs at knee to come to a rest on knee or knees.
X Crouching: Bending the body downward and forward by bending legs and spine.
Crawling: Moving about on hands and knees or hands and feet.
X Reaching: Extending hand(s) and arm(s) in any direction.
Occasionally
Occasionally
Occasionally Occasionally Occasionally
X Standing: Particularly for sustained periods of time.
X Walking: Moving about on foot to accomplish tasks, particularly for long distances.
X Pushing: Using upper extremities top press against something with steady force in order to thrust forward, downward, or outward.
X Pulling: Using upper extremities to extent force in order to drag, haul, or tug objects in a sustained motion.
Foot
Motion: Using feet to push pedals.
X Lifting: Raising objects from a lower to a higher position or moving objects horizontally from position to position. This factor is important if it occurs to a considerable degree and requires substantial use of the upper extremities and back muscles.
X Fingering: Picking, pinching, typing, or otherwise working with fingers rather than with the whole hand or arm as in handling.
X Grasping: Applying pressure to an object with the fingers and palm.
Occasionally Occasionally Occasionally
Frequently
Frequently
Occasionally
2. PHYSICAL EFFORT (cont.)
FREQUENCY
X Talking: Expressing or exchanging ideas by means of the spoken word. Those activities in which workers must convey detailed or important spoken instructions to other workers accurately, loudly, or quickly.
X Hearing: Perceiving the nature of sounds with or without correction. Ability to receive detailed information through verbal communication, and to make fine discriminations in sound, such as when making find adjustments on machined parts.
Feeling: Perceiving attributes of objects, such as size, shape, temperature, or texture by touching with skin, particularly that of fingertips.
X Repetitive Substantial movements (motions) of the wrists, hands, Motion: and/or fingers.
Frequently
Frequently
Frequently
3. WORKING CONDITIONS
Disagreeable job conditions to which the employee may be exposed and the frequency (e.g., continually, frequently, or occasionally) of this exposure.
WORKING CONDITION ENVIRONMENTAL
FACTOR
NATURE/REASON OF EXPOSURE
FREQUENCY
Dirt/Dust
Noise
Temperature extremes
Dampness
Vibrations
Equipment movement hazard
Chemicals/solvents
Electrical shock
Significant work pace/pressure
Odors/Fumes
Other (specify):