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Afternoon Data Analyst R Programming Jobs in Hercules, CA

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 ...

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 ...

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

Sonoma, CA · On-site

$96K - $121K/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 ...

R) for advanced statistical modeling * Collaborating with Data & Analytics Engineers to architect robust data models and institute world-class data quality guardrails * A self-starter mentality ...

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 ...

Experience working with SQL, Python, R, or other analytical programming languages strongly ... Passion for technology, communications, and using data to solve business challenges * Champion the ...

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

Showing results 41-60

Afternoon Data Analyst R Programming information

See Hercules, CA salary details

$37.5K

$91.2K

$150.2K

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 Hercules, CA is $91,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $107,100.00 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Hercules, CA?

For Afternoon Data Analyst R Programming jobs in Hercules, CA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Hercules, CA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Hercules, CA are:

What cities near Hercules, CA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Hercules, CA with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Hercules, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $91,244 per year, or $43.9 per hour.

Senior Data Analyst

Smartwork IT Services

San Francisco, CA • On-site

$101K - $127K/yr

Other

This job post has expired today. Applications are no longer accepted.


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 eld.
  • 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 ef cient 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, ef ciency, and productivity.
  • Design and create rich, compelling visualizations with data
  • Work directly with customer stakeholders to gather requirements, communicate updates and ndings, 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.