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Afternoon Data Analyst R Programming Jobs in Walnut Creek, CA

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

Proficient in programming languages such as Python or R, with the ability to manipulate and analyze data efficiently. * Adept at working with large datasets, utilizing statistical techniques to ...

Experience with Python or R. * Familiarity with data warehouses and analytics engineering. * Knowledge of experimentation, product analytics or forecasting. * Experience in tech or consumer platforms.

Experience with Python or R. * Familiarity with data warehouses and analytics engineering. * Knowledge of experimentation, product analytics or forecasting. * Experience in tech or consumer platforms.

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 ...

Posted today

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

Work with SQL, Python, or R to extract, analyze, and manipulate data. * Collaborate with product managers, engineers, and marketing teams to provide data-driven insights . * Conduct A/B testing and ...

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 ...

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt ... Strong proficiency in Python or R for advanced data manipulation, statistical modeling, and ...

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can ... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ...

Sr. Data Analyst

San Francisco, CA · On-site

$90K - $130K/yr

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can ... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ...

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can ... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ...

Sr Data Analyst

San Francisco, CA · Hybrid

$101K - $127K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

New

Our company provides application analysis, design, development and programming, software ... of Data Analysis experience. 2) Should have very good experience on Data Profiling and Data ...

Data Analyst Location: either San Francisco or Charlotte, NC Duration: 12-18 months Duties ... campaign developers to build and validate logic to meet business intent Assessing campaign ...

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Afternoon Data Analyst R Programming information

See Walnut Creek, CA salary details

$37.7K

$91.5K

$150.6K

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

As of Aug 9, 2026, the average yearly pay for afternoon 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 an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
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 Afternoon Data Analyst R Programming jobs in Walnut Creek, CA? For Afternoon Data Analyst R Programming jobs in Walnut Creek, CA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Walnut Creek, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Walnut Creek, CA are:
What cities near Walnut Creek, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Walnut Creek, CA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Walnut Creek, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% 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.

Data Analyst

SupportFinity

San Francisco, CA • Remote

$1.0K - $1.2K/mo

Full-time

Re-posted 28 days ago


Job description


We are looking for a talented Data Analyst to join one of our the most growing series A startup in the Bay Area. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive informed business decisions. You will work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement. If you have a strong analytical mindset, excellent problem-solving skills, and a keen eye for detail, we would love to hear from you!


Responsibilities
  • • Collaborate with cross-functional teams to identify and define data requirements for various projects.
    • Collect, clean, and analyze large datasets to extract meaningful insights and support data-driven decision making.
    • Develop and maintain data models, algorithms, and statistical models to uncover patterns and trends in data.
    • Create visually appealing and easy-to-understand reports and dashboards to present findings to stakeholders.
    • Continuously monitor data quality and accuracy, identifying and resolving any issues that may arise.
    • Stay updated with industry trends and best practices in data analysis techniques and tools.
    • Act as a trusted advisor, providing guidance and recommendations to improve business processes and outcomes based on data analysis.

Qualifications
  • • Strong analytical skills, with the ability to gather, organize, and interpret complex data sets.
    • Proficient in using data visualization tools to present findings in a clear and concise manner.
    • Excellent problem-solving abilities, with a keen eye for identifying patterns and trends within data.
    • Strong attention to detail, ensuring accuracy and reliability in data analysis and reporting.
    • Effective communication skills, both verbal and written, to collaborate with team members and present findings to stakeholders.
    • Proficient in programming languages such as Python or R, with the ability to manipulate and analyze data efficiently.
    • Adept at working with large datasets, utilizing statistical techniques to extract meaningful insights and drive informed decision-making.