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Afternoon Data Analyst R Programming Jobs in Rancho Palos Verdes, CA

Data Analyst

Downey, CA ยท On-site

$70 - $90/hr

Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ... Bachelor's degree in Business Administration, Finance, Engineering, or any other related field.

Data Analyst

Burbank, CA ยท On-site

$70 - $95/hr

Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ... Bachelor's degree in Business Administration, Finance, Engineering, or any other related field.

Data Analyst

Irvine, CA ยท On-site

$70 - $90/hr

Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ... Bachelor's degree in Business Administration, Finance, Engineering, or any other related field.

Data Analyst

Bellflower, CA ยท On-site

$60 - $90/hr

Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ... Bachelor's degree in Business Administration, Finance, Engineering, or any other related field.

New

Data Analyst / CDP Developer Location: Torrance, CA Duration: 6 Months JOB RESPONSIBILITIES Data Analysis and Development * Analyze customer data, event, and large-scale datasets to generate insights ...

Data Analyst

Glendale, CA ยท On-site

$75 - $95/hr

Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ... Bachelor's degree in Business Administration, Finance, Engineering, or any other related field.

Data Analyst

Hawthorne, CA ยท On-site

$70 - $90/hr

Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ... Bachelor's degree in Business Administration, Finance, Engineering, or any other related field.

Lead Data Analyst

Los Angeles, CA ยท On-site

$120 - $180/hr

Partner with engineering to define and implement product instrumentation. * Support the marketing team in analyzing UA funnels, paid performance marketing campaigns, and attribution data to optimize ...

Sr Data Analyst

Santa Monica, CA ยท On-site

$96K - $121K/yr

Analytics Engineering & Reporting Foundations: Collaborate closely with data engineers and product management to tackle data consistency challenges, ensure the accuracy and quality of data required ...

Sr. Portfolio Data Analyst

Los Angeles, CA ยท On-site +1

$92K - $116K/yr

Collaborate with engineering and data governance to establish reliable product tapes for joint ... Knowledge in Python, R or SAS * Knowledge of BI tool: Tableau, Sigma, or similar * Proficient in ...

Sr. Portfolio Data Analyst

Los Angeles, CA ยท Remote

$88K - $111K/yr

Collaborate with engineering and data governance to establish reliable product tapes for joint ... Knowledge in Python, R or SAS * Knowledge of BI tool: Tableau, Sigma, or similar * Proficient in ...

We are seeking an analytical growth architect to bridge the gap between market reality, advanced ... Stochastic Risk Engineering & Code Development: Write production-grade code to build data pipelines ...

Senior Data Analyst

Los Angeles, CA ยท On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data ... You'll partner with engineering, production, and finance to understand what's working, what isn't ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Rancho Palos Verdes, CA salary details

$36.5K

$88.7K

$145.9K

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 Rancho Palos Verdes, CA is $88,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $104,100.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Rancho Palos Verdes, CA look for?

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

What cities near Rancho Palos Verdes, CA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Rancho Palos Verdes, CA with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Rancho Palos Verdes, CA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $88,651 per year, or $42.6 per hour.

$70 - $90/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Benefits:
  • 401(k)
  • Competitive salary
  • Paid time off
Who is JLM Strategic Talent Partners & What is Our Role

We partner with National & International prime contractors to provide them with qualified talent they can trust.

We accomplish this by sourcing & vetting high level career seeking candidates in the industry and match them with our partners current open roles. Our objective is to help our general contractor partners build out project teams for high level infrastructure projects across the US.

We aspire to partner with candidates who are eager to learn, grow, and progress in their career path while deepening their knowledge in their given field.

We deeply value our partnerships and place great emphasis on maintaining strong relationships and long term hires. This is reflective in our competitive offerings to our hires including:

  • Ongoing HR support
  • Competitive benefits packages including- Health, Dental, Vision & Life insurance
  • Our very own JLM Rewards incentive program
The Ideal Candidate
  • The ideal candidate has a proven track record of working in a team environment.
  • They thrive in a fast paced and a team oriented environment.
  • They get excited about construction projects as well as completing assignments on time.
  • An individual who will do well in this position is self oriented, organized, a great communicator, and approachable.
  • Comfortable working within a team environment at the project site.
Key Responsibilities/Skills
  • Data Analysis: Analyze data from various sources, using spreadsheets and smart sheets, to identify trends, patterns, and areas for improvement.
  • Reporting: Run regular and ad-hoc reports, interpret the data, and present findings to managers and colleagues in a clear and concise manner.
  • Problem Solving: Address and resolve challenges using data.
  • Communication: Collaborate with cross-functional teams, communicating findings and recommendations clearly to both technical and non-technical audiences.
  • Independent Work: Ability to work independently, manage time effectively, and deliver high-quality work with minimal supervision.
  • Learning and Adaptation: Quickly learn and adapt to new software tools and platforms that support project management and data analysis.
  • Continuous Improvement: Identify areas of improvement within existing processes and software tools, recommending and implementing changes that enhance project outcomes.
Qualifications
  • Bachelorโ€™s degree in Business Administration, Finance, Engineering, or any other related field.
  • Proven experience as a Business Analyst or in a similar role, preferably within a project based environment.
  • A proactive approach to personal career growth, seeking opportunities to develop new skills and advance within the company.
  • Strong proficiency with spreadsheets (Excel, Google Sheets) and smart sheets.
  • Excellent problem-solving skills with a focus on data-driven decision-making.
  • Experience in document management and process improvement.
  • Strong communication skills, both written and verbal.
  • Ability to work independently and manage multiple tasks and projects simultaneously.
  • Detail-oriented with a commitment to accuracy and efficiency.
Perks of Joining JLM

We offer a competitive compensation package as well as benefits including Health Insurance, Vision, Dental, Life, and Paid Time Off!

Flexible work from home options available.

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