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Full Time Data Analyst R Programming Jobs in Walnut Creek, CA

Senior Support Data Analyst

Oakland, CA · On-site

$98K - $124K/yr

... Engineering. This is a full-time position based out of our Oakland, CA office. Our hybrid work ... Direct experience working with BI, analytics, data infrastructure, or modern data stack products.

(USA) Principal, Data Analyst

Hayward, CA · On-site

$117K - $234K/yr

We are seeking a Principal Analyst, Search Product to partner with Product, Engineering, Data ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

We are seeking a Principal Analyst, Search Product to partner with Product, Engineering, Data ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

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 ...

At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with ... As an Optimization Data Analyst, you will independently lead complex analyses, support automation ...

At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with ... As an Optimization Data Analyst, you will independently lead complex analyses, support automation ...

Showing results 41-60

Full Time Data Analyst R Programming information

See Walnut Creek, CA salary details

$37.7K

$91.5K

$150.6K

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

As of Sep 2, 2026, the average yearly pay for full time data analyst r programming in Walnut Creek, CA is $91,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $107,400.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

What are the most commonly searched types of Data Analyst R Programming jobs in Walnut Creek, CA?

The most popular types of Data Analyst R Programming jobs in Walnut Creek, CA are:

What are popular job titles related to Full Time Data Analyst R Programming jobs in Walnut Creek, CA?

For Full Time Data Analyst R Programming jobs in Walnut Creek, CA, the most frequently searched job titles are:

What job categories do people searching Full Time Data Analyst R Programming jobs in Walnut Creek, CA look for?

The top searched job categories for Full Time Data Analyst R Programming jobs in Walnut Creek, CA are:

What cities near Walnut Creek, CA are hiring for Full Time Data Analyst R Programming jobs?

Cities near Walnut Creek, CA with the most Full Time Data Analyst R Programming job openings:

Infographic showing various Full Time Data Analyst R Programming job openings in Walnut Creek, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,517 per year, or $44 per hour.

Senior Data Analyst

SWITS DIGITAL Private Limited

San Francisco, CA • On-site

$101K - $127K/yr

Full-time

Posted 3 days ago

New


Job description

Title: Senior Data Analyst
Location: San Francisco, New York, Seattle, or Little Rock
Note - This is a Product company and they build complex Market Analysis platform for very large clients mostly related to Market -Media Domain specialization
Senior Data Analyst
Client is the data collaboration platform of choice for the world's most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, client is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust.
  • 10+ years experience with SQL, Python
  • Experience with marketing measurement analysis
  • Experience with data driven dashboards and BI
  • AdTech industry experience required; familiarity with the TV industry is a plus.
  • 9+ years of experience in analytics or data science, with expertise in measurement and attribution.
  • Bachelor's degree in Statistics, Economics, Engineering, Computer Science or another quantitative field.
  • Strong verbal and written communication skills, with experience in client-facing environments.
  • Proven track record of creating and presenting data-driven dashboards and presentations, effectively telling a story through insights, with hands-on experience in Metabase, Tableau, and Looker.
  • Solid understanding of data modeling techniques, with the ability to explain complex concepts to different audiences.
  • AdTech industry experience required; familiarity with the TV industry is a plus.
  • Ability to independently prepare analysis using SQL, Python, Excel, and statistical methods.
  • Detail-oriented with strong time management skills, delivering high-quality, client-ready analytical reports across multiple projects.
  • Comfortable presenting complex analyses to large, non-technical audiences, while also being able to adapt to effectively communicate with technical audiences.

You will:
The Senior Data Analyst will work on reporting and analytics initiatives for client customers. This role will work in close collaboration with Customer Success, Product and Engineering teams. The analyst will be responsible for generating insights from Clean Room technologies, powered by LiveRamp's Clean Room as well as emerging industry solutions such as Amazon Marketing Cloud, Google Ads Data Hub, and more. The role will primarily focus on developing visualizations, dashboards and reports that enable our customers to better understand their data and make data driven decisions.
  • Lead measurement initiatives; develop KPIs and learning plans for customers in support of their marketing objectives
  • Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers
  • Design approaches for observational analytics - including mining multi-dimensional datasets - and experimental methods to build templates and libraries of analysis that can scale across many different customer use cases and verticals
  • Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization. Identify and communicate areas to improve effectiveness, efficiency, and productivity.
  • Design and create rich, compelling visualizations with data
  • Work directly with customer stakeholders to gather requirements, communicate updates and findings, and build relationships.

  • Speak and present both internally and externally, leveraging data to tell a story and effectively communicating complex analytical concepts to business and technical audiences.

Your team will:
  • Work closely with product and engineering teams to support and understand suite of measurement products and their respective methodologies.
  • Dive deep with internal and external clients to understand their measurement and analytical needs and translate them into product improvements.
  • Help design new offerings in the analytical space.
  • Design and develop insightful dashboards using a variety of data visualization tools to inform decision-making for both internal and external stakeholders.