1

Self Employed Data Analyst R Programming Jobs in California

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... Basic scripting - Python or R for data manipulation or automation. * Windows environment fluency ...

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Safety and security is at the heart of our advanced engineering that allows us to design, build and ... Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Experience in an engineering or consulting environment is a plus. * Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). * Experience with data visualization tools ...

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

  • Medical

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

  • Medical

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

  • Medical

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Data Analyst Location: either San Francisco or Charlotte, NC Duration: 12-18 months Duties ... Self-motivated and can work independently with limited guidance. Advanced SQL programming ...

Data Analyst Senior

Sacramento, CA · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... regular self-study, and formal training opportunities. Gain exposure to a variety of client ...

Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently ... Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data ...

Data Analyst 1

Norco, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborate with analysts, data engineers, and other technical personnel. Required Qualifications ... If you are or have recently been employed by the U.S. Government, a post-employment ethics letter ...

Data Analyst

Van Nuys, CA · On-site

$85K - $105K/yr

  • Medical

  • PTO

Data Analyst Van Nuys, CA 91406 (On-Site) THE POSITION: * An established and growing organization ... Working knowledge of SQL, shell scripting, (Python, or R) * Experience supporting finance or ...

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with engineering and platform teams to surface pipeline failures, schema changes, or ... Python or R for data wrangling and automation * Experience with cloud data warehouses (Snowflake ...

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a ...

Data Analyst

Mountain View, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with engineering and platform teams to surface pipeline failures, schema changes, or ... Python or R for data wrangling and automation * Experience with cloud data warehouses (Snowflake ...

Self-motivated with a strong sense of ownership and attention to detail. Remote Work Requirements ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Showing results 41-60

Self Employed Data Analyst R Programming information

Are R programmers in demand?

R programmers, including self-employed data analysts skilled in R programming, are in demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with skills in data visualization and machine learning, increases job opportunities in analytics, research, and consulting roles.

Can a self employed data analyst R programming be self-employed?

A self-employed data analyst skilled in R programming can work independently, offering services such as data analysis, visualization, and reporting to clients. Being self-employed requires managing your own schedule, acquiring clients, and possibly obtaining relevant certifications or a portfolio to demonstrate expertise.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

What are the most commonly searched types of Data Analyst R Programming jobs in California?

The most popular types of Data Analyst R Programming jobs in California are:

What cities in California are hiring for Self Employed Data Analyst R Programming jobs?

Cities in California with the most Self Employed Data Analyst R Programming job openings:

$85K - $105K/yr

Full-time

Re-posted 3 hours ago


Job description

Data Analyst
Position Description
Date Issued:
June 2026
Department:
Finance
Reports to:
VP of Finance
Location:
Van Nuys, CA
Position Purpose:
We are seeking a highly analytical and detail-oriented Data Analyst to support data-driven decision-making across the organization. This role will be responsible for transforming raw data into actionable insights, developing dashboards and reports, and partnering cross-functionally to improve operational and financial performance. The ideal candidate combines strong technical skills with business acumen and the ability to clearly communicate findings to senior leadership. This is an on-site role.
DESTINATION STATEMENT Who we strive to be:
Who We Strive to Be: We will be the first choice when energy matters. Our bespoke solutions solve the energy trilemma of resiliency, sustainability, and affordability. We push boundaries, challenge norms, and drive change. We’re committed to making the impossible possible in the energy sector.
Safety: Our commitment to safety and security is uncompromised. At the end of each day, we are only successful when all associates can return home to their families in good wellness. Safety and security is at the heart of our advanced engineering that allows us to design, build and operate our units to do no harm.
Technology: We dare to innovate and are not afraid to fail. Our unique, stable inverter-based technology is at the forefront of the industry creating a seamless integration with our customers’ energy systems. We are a high precision power technology company.
Our Team: An intense zeal for excellence drives us. We are a collaborative team focused on building trust and engaging in healthy conflict to solve difficult problems quickly. Our sense of urgency ensures we meet both our own high standards and the evolving needs of our customers.
KEY RESPONSIBILITIES
Data Analysis amp; Reporting
  • Collect, validate, and analyze large datasets from multiple sources including ERP, CRM, and operational systems.
  • Develop dashboards and recurring reports using BI tools (e.g., Power BI, Tableau, Looker) to support Finance and cross-functional leadership.
  • Build and maintain queries and data models to support reporting accuracy, consistency, and scalability.
Insights amp; Decision Support
  • Identify trends, anomalies, and performance drivers; translate findings into clear, actionable recommendations for senior leadership.
  • Partner with Finance, Operations, Sales, and Executive Leadership to define KPIs, metrics, and reporting frameworks.
  • Support forecasting and scenario modeling through advanced analytics to inform strategic and operational decisions.
Process Improvement amp; Data Governance
  • Automate manual reporting processes to improve efficiency, reduce error risk, and free capacity for higher-value analysis.
  • Ensure data integrity, governance, and documentation standards are maintained across all reporting outputs.
QUALIFICATIONS
Education amp; Experience
  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Finance, Economics, or a related field.
  • 1–3 years of experience in data analytics, business intelligence, or a related role.
  • Demonstrated ability to translate complex data into clear, concise insights for non-technical stakeholders.
Skills amp; Abilities — Required
  • Advanced proficiency in Microsoft Excel required.
  • Experience with BI tools (Power BI, Tableau, or equivalent); ability to build and maintain production-ready dashboards.
  • Strong communication skills with the ability to present findings and recommendations to Finance leadership and cross-functional teams.
  • Analytical rigor and meticulous attention to detail; strong problem-solving capability.
  • Ability to manage multiple priorities simultaneously in a fast-paced environment.
  • Intellectual curiosity and a continuous process improvement mindset.
Skills amp; Abilities — Preferred
  • Experience working with ERP systems (NetSuite, SAP, Oracle, or similar) is a strong plus.
  • Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.
  • Background in a manufacturing, energy, or operationally complex environment.
WHAT SUCCESS LOOKS LIKE
  • Finance and operating leadership have reliable, trusted dashboards that reduce ad hoc reporting requests and accelerate decision-making.
  • Manual reporting processes have been identified, documented, and systematically automated — reducing cycle time and human error.
  • KPIs and performance metrics are clearly defined, consistently measured, and actively used across Finance, Operations, and Sales.
  • Data integrity and governance standards are in place and maintained, with documentation that supports audit and scalability.
  • The Data Analyst is recognized as a key analytical partner to the VP of Finance and broader leadership team.
WORK ENVIRONMENT
  • On-site at Capstone’s Van Nuys, CA headquarters; regular in-office presence required.
  • Collaborative, cross-functional environment with direct exposure to Finance, Operations, Sales, and Executive leadership.
  • Extended periods of sitting and computer use are typical for this role.
  • Willingness to work beyond a standard 40-hour workweek as driven by reporting cycles, close periods, or business needs.