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Afternoon Data Analyst R Programming Jobs in Hercules, CA

Sceye is seeking a detail-oriented Data Analyst to support flight test, engineering, and business ... Proficiency in SQL and at least one analysis/scripting language such as Python or R. * Experience ...

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 ...

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 ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus Ability to clearly communicate findings and work ...

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 ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus • Ability to clearly communicate findings and work ...

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 ...

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Partner with product managers, engineers, and risk/compliance teams to support the design of new ...

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... Familiarity with database queries and programming languages (e.g., SQL) * Excellent written and ...

Data Analyst

San Francisco, CA · On-site +1

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Partner with product managers, engineers, and risk/compliance teams to support the design of new ...

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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.

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a Data Analyst II to apply data science to impact business outcomes. The role involves conducting analyses using statistical methods and building automated reports to support Workplace Effectiveness and improve employee productivity.
Responsibilities:
• Leverage data to Client patterns and solve strategic analytic business problems
• Execute sophisticated analyses that result in actionable recommendations
• Collaborate with subject matter experts across WE and the business
• Contribute to data integrity and data forensics efforts
• Define requirements and work with local and global Informatics (IT) to extend and maintain the Site Services Analytics platform
• Design and implement self-service reporting tools (e.g. R-Shiny, Tableau, R, Python)
• Identify opportunities to further build out our IoT strategy
Qualifications:
Required:
• 5+ years of experience in data related fields - experience with research programs that seek practical/predictive (rather than only statistical) significance is particularly valued
• Experience working with large, complex data systems to aggregate, organize, and prepare data for use in business analysis
• Extensive background in data mining and statistical analysis to drive insights from data
• Demonstrated experience in bridging business requirements and technical development
• Data-oriented scripting (e.g. SQL) and statistical programming (e.g., R, with Python as a plus)
• Classical statistics
• Experimental design and analysis, including validating questionnaires, and designing surveys
• Developing shared code (e.g., version control, programming patterns, libraries/packages) and creating data pipelines
• Experience building R-Shiny apps
• Degree in Computer Science, Engineering, Psychology, Statistics, or related technical field or equivalent experience
• English Read Write Speak
Preferred:
• Experience using web services, such as AWS, and big data toolkits
• Machine learning approaches to fitting models (e.g., ensembles, bootstrapping) and estimating their performance (e.g., cross-validation)
• Architecture background/experience working with architects, space planners and interior design specialists
• Experience working with HR / organizational people data
• Publically available examples of code (github, etc) or projects (websites, decks, publications)
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.