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Data Analyst R Programming Jobs in San Francisco, CA

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (or equivalent experience). * Demonstrated experience building and maintaining dashboards ...

Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of ... R) * Experience in data visualization tools, such as Tableau * Video games experience & passion ...

Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of ... R) * Experience in data visualization tools, such as Tableau * Video games experience & passion ...

Senior Data Analyst

San Francisco, CA · On-site

$169K - $232K/yr

At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with ... Senior Data Analyst, Customer Interfaces We are seeking a high-impact, product-minded Senior Data ...

Senior Data Analyst

Alameda, CA · On-site

$99K - $125K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

New

Data Analyst IV

San Francisco, CA · On-site

$187K - $220K/yr

This is a hands-on, high-complexity role for a data professional who thrives at the intersection of engineering and analytics. You will be responsible for building complex data models, performing ...

Senior Data Analyst

San Francisco, CA · On-site

$101K - $127K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

New

Senior Data Analyst

San Mateo, CA · On-site

$98K - $123K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

New

Senior Data Analyst

Hayward, CA · On-site

$98K - $124K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

New

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

... data-proven results * Strong analytical, organizational and problem-solving skills including ... Experience in R or Python is required * Experience with Tableau or other related Business ...

You will partner with operational, data science, data engineering, and product teams globally to ... Data Analyst, Global Operations Responsibilities: * Partner with operations, data science ...

Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architect to ... Analytical Rigor: Strong critical thinking skills and a resourceful approach to professional ...

Showing results 41-60

Data Analyst R Programming information

See San Francisco, CA salary details

$40.1K

$97.4K

$160.2K

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

As of Aug 8, 2026, the average yearly pay for data analyst r programming in San Francisco, CA is $97,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $114,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data analyst r programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

Do data analysts use R programming?

Data analysts often use R programming as it is a popular tool for data manipulation, statistical analysis, and visualization. Proficiency in R can enhance a data analyst's ability to handle complex datasets and perform advanced analytics efficiently.

Are data analysts in demand?

Data analysts, including those skilled in R programming, are in high demand across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals who can analyze large datasets, create reports, and use tools like R and SQL to support business strategies, leading to strong job growth and competitive salaries in this field.

What is a data analyst r programming?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a data analyst r programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the most commonly searched types of Data Analyst R Programming jobs in San Francisco, CA? The most popular types of Data Analyst R Programming jobs in San Francisco, CA are:
What are popular job titles related to Data Analyst R Programming jobs in San Francisco, CA? For Data Analyst R Programming jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Data Analyst R Programming jobs in San Francisco, CA look for? The top searched job categories for Data Analyst R Programming jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Data Analyst R Programming jobs? Cities near San Francisco, CA with the most Data Analyst R Programming job openings:
Infographic showing various Data Analyst R Programming job openings in San Francisco, CA as of August 2026, with employment types broken down into 82% Full Time, 2% Temporary, and 16% Contract. Highlights an 87% In-person, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,364 per year, or $46.8 per hour.

Operations Data Analyst

CYNET SYSTEMS

Oakland, CA • On-site

$77 - $82/hr

Contractor

Re-posted 7 days ago


Job description

Job Overview:

Pay Range: $77.14hr - $82.14hr

Requirement/Must Have:

  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (or equivalent experience).
  • Demonstrated experience building and maintaining dashboards in Power BI.
  • Strong SQL skills and experience working with structured datasets.
  • Excellent written and verbal communication skills, with a proven ability to explain complex data clearly.
  • Strong ability to interpret data, identify trends, and generate actionable insights.
  • Ability to clearly communicate complex data findings to both technical and non-technical stakeholders.
  • Experience working in cross-functional teams and translating business needs into data-driven solutions.

Responsibilities:

  • Analyze business data to identify trends, patterns, risks, and opportunities for operational and strategic improvements.
  • Demonstrate broad expertise in data processing and analysis, applying analytical techniques to a wide range of business questions.
  • Respond to ad hoc and recurring data requests with accuracy, clarity, and timeliness.
  • Collect, clean, validate, and integrate data from multiple sources to ensure accuracy and consistency.
  • Extract and analyze data from SAP to support planning, forecasting, and decision-making.
  • Manage data extraction and transfer from databases to support operational analysis across teams.
  • Create automated data routines and processes to ensure efficient, repeatable reporting and data delivery.
  • Develop and maintain dashboards, reports, and visualizations using Power BI to clearly communicate insights and performance metrics.
  • Utilize Foundry for advanced analytics, data modeling, and analytical workflows.
  • Apply GIS tools for spatial data analysis and mapping to support location-based decision-making.
  • Leverage Copperleaf for asset investment planning, lifecycle cost analysis, and value-based decision support.
  • Clearly communicate analytical findings, assumptions, and recommendations to diverse audiences.
  • Translate complex data into concise, compelling narratives that support informed decision-making.
  • Collaborate with cross-functional teams to understand business needs, identify challenges, and deliver data-driven solutions.
  • Act as a trusted partner to stakeholders by helping shape analytical questions and clarify insights.

Nice to Have:

  • Hands-on experience using Foundry for data analysis, data modeling, or workflows.
  • Experience with Copperleaf.

Skills:

  • Data analytics (Python, Excel, conduct data queries as needed).
  • Power BI (advanced skills, ability to create executive boards and day-to-day dashboards for business analytics).
  • SAP.
  • Microsoft Excel and Power Query as needed.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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