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Afternoon Data Analyst R Programming Jobs in Baton Rouge, LA

Varsity Tutors

Data Science Tutor

Baton Rouge, LA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

State of Louisiana

Program Manager 1A-LDH

Baton Rouge, LA · On-site

$5.0K - $9.8K/mo

... data management\analytics tools (Excel, Microsoft Access, R, Python, SQL, SAS, Tableau, etc.) Preferably, experience programming SQL queries Minimum Qualifications Seven years of experience in ...

State of Louisiana

Program Manager 1A-LDH

Baton Rouge, LA · On-site

$5.0K - $9.8K/mo

Experience with data management\analytics tools (Excel, Microsoft Access, R, Python, SQL, SAS, Tableau, etc.) * Preferably, experience programming SQL queries Minimum Qualifications Seven years of ...

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

... business analytics, reporting, and data integration. The ideal candidate will have strong ... Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or ...

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Afternoon Data Analyst R Programming information

See Baton Rouge, LA salary details

$32.6K

$79.4K

$130.6K

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

As of Jun 20, 2026, the average yearly pay for afternoon data analyst r programming in Baton Rouge, LA is $79,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 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 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, and why are they important?

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 Baton Rouge, LA? The most popular types of Data Analyst R Programming jobs in Baton Rouge, LA are:
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What job categories do people searching Afternoon Data Analyst R Programming jobs in Baton Rouge, LA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Baton Rouge, LA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data Analyst (SR-5269058-DA)

LMG Technology Services LLC

Baton Rouge, LA • Remote

Full-time

Posted 4 days ago

Job description

Remote – United States

I. DESCRIPTION OF SERVICES

The scope of the proposed services will include the following:

  • Coordinate various data sources within an organization.
  • Perform data profiling and discovery.
  • Gather and interpret business requirements.
  • Create data documentation.
  • Perform data modeling and design.

II. CANDIDATE SKILLS AND QUALIFICATIONS

Years

Required/Preferred

Experience

2

Required

Working on data migration or data integration projects with specific experience with cleaning data, running basic reports, and maintaining existing dashboards.

2

Required

SQL experience writing queries to extract data from relational databases.

2

Preferred

Programming languages commonly used for data analysis such as Python or R.

2

Preferred

Experience with data visualization tools such as Tableau, Power BI, or Looker.

2

Preferred

Working on a development team.

2

Preferred

Completion of two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM).

2

Preferred

Working in an Agile/Scrum environment.

Note: Expected Start Date 07/01/2026 and Expected End Date 06/30/2029.

Hours worked should be within the State’s core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State’s core business hours in order to meet critical deadlines.

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