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Self Employed Data Analyst R Programming Jobs in Santa Clara, CA

Proven ability to lead cross-functional initiatives and influence product and engineering roadmaps ... Strong experience with Python or R for data analysis, modeling, and automation. * Proficiency in ...

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

Key liaison between business and technical teams in managing day to day data analytics. * Lead a ... Familiarity with Python (preferred) or R programming to the level necessary to perform ad-hoc ...

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

... Engineering, Statistics, Data or Information Sciences, or related field AND 2-3 year of related experience • 2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx ...

You will collaborate cross-functionally with Product, Engineering, Risk, and Operations teams to ... Results-driven and self-motivated professional. Required Qualifications * Master's degree in Data ...

... Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

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

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 ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus Ability to clearly communicate findings and work ...

Self-starter: Demonstrated ability to initiate and drive tasks independently within a data-centric ... Python programming for data analysis.

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 ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus • Ability to clearly communicate findings and work ...

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 ...

Senior Data Analyst

Palo Alto, CA

$101K - $127K/yr

Recommend analytical tools to implement in partnership with developers and the Head of Growth ... Deep expertise in SQL. Experience in Python and R a plus * Bachelor's degree in mathematics ...

NAND Q&R Engineer

Cupertino, CA · On-site

$184K - $324K/yr

Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

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Self Employed Data Analyst R Programming information

See Santa Clara, CA salary details

$39.9K

$97.1K

$159.7K

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

As of Sep 1, 2026, the average yearly pay for self employed data analyst r programming in Santa Clara, CA is $97,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $113,900.00 per year, depending on experience, location, and employer.

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 Santa Clara, CA?

The most popular types of Data Analyst R Programming jobs in Santa Clara, CA are:

Data Analyst

1 point system

Sunnyvale, CA • On-site

Contractor

Re-posted 21 days ago


Job description

Qualifications
• Master’s degree in data science, Statistics, Computer Science, Economics, or a related field.
• 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics.
• Proven ability to lead cross-functional initiatives and influence product and engineering roadmaps.
• Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake).
• Strong experience with Python or R for data analysis, modeling, and automation.
• Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics.
• Experience with A/B testing, experimentation frameworks, and causal inference techniques.
• Familiarity with real-time data systems, fraud detection models, and decisioning platforms is a plus.
• Excellent communication skills with the ability to translate complex data into actionable insights.