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Afternoon Data Analyst R Programming Jobs in Walnut Creek, CA

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Data Analyst II

San Francisco, CA · On-site

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

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 ...

Senior Data Analyst

San Francisco, CA · On-site

$101K - $127K/yr

Senior Data Analyst Location: San Francisco, New York, Seattle, or Little Rock Note This is a ... Bachelor's degree in Statistics, Economics, Engineering, Computer Science or another quantitative ...

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 ...

Showing results 41-60

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 Sep 2, 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 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 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 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, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $91,517 per year, or $44 per hour.

Data Analyst II

Brex

San Francisco, CA • Hybrid

$93K - $117K/yr

Full-time

Re-posted 21 days ago


Job description

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company.

What you'll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. 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 high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you'll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
  • Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
  • Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
  • Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
  • Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
  • Partner with various departments-including Sales, Operations, Product, and Finance-to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
  • Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

  • 3+ years of experience in data analytics or a related role in a professional setting.
  • 2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
  • Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
  • Experience with Python for data analysis, automation, or scripting.
  • Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
  • Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
  • Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
  • Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

  • Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
  • Familiarity with dbt for data modeling and transformation.
  • Exposure to data pipeline orchestration tools (e.g., Airflow).
  • Experience in fintech, financial services, or payments.
  • Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.