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Afternoon Data Analyst R Programming Jobs in Baton Rouge, LA

The Midtown Group

Business Analyst

Baton Rouge, LA · Remote

... programmers. - Identify and document relevant business processes contained in legacy application data systems. Qualifications: - 3+ years' experience as a Business Analysis including eliciting ...

State of Louisiana

MANAGEMENT ANALYST 1/2

Baton Rouge, LA · On-site

$2.9K - $5.7K/mo

Using Data: The ability to collect, analyze, and use data to generate insights and inform decisions ... social services, or engineering; OR A bachelor's degree plus one year of experience in ...

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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:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Baton Rouge, LA? For Afternoon Data Analyst R Programming jobs in Baton Rouge, LA, the most frequently searched job titles are:
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
Business Analyst

Business Analyst

E-Solutions

Baton Rouge, LA • Remote

Other

Posted 17 days ago

Job description

Please Find the below requirement of Business Analyst from State of Louisiana SR-5267967 OTS Invoice Portal.
Due Date: April 20, 2026
Tenure:: 07/01/2026 - 06/30/2029
References: (name, title, company name, address, telephone number, and email address)
The primary work location will be: Contractor Remote Facility
JOB TITLE: Business Analyst-
No. Of Resources: 1
The scope of the proposed services will include the following:

  • Using Agile methods to analyze and document business functions and requirements
  • Consult with management and personnel to identify, define and document business functions, needs and objectives, operational procedures, problems, input and output requirements
  • Analyze the integration of business functions with technology
  • Perform and/or facilitate business and technical analysis in support of project design and implementation for a team of application programmers
  • Identify and document relevant business processes contained in legacy application data systems
  • Build out and support the management and prioritization of the product backlog
  • Create user stories based on requirements and capture technical requirements as needed
  • Participates in all necessary team meetings and design sessions in accordance with Scrum ceremonies
Expertise and/or relevant experience in the following areas are mandatory:
  • Three (3) years of experience as a Business Analysis including eliciting, analyzing, and documenting business functions, processes, and requirements
  • Two (2) years of experience in Agile methodologies (Scrum, Kanban, etc.), writing user stories, and maintaining a healthy product backlog
  • Excellent verbal and written communication skills
  • Creating requirements documentation for complex projects
Expertise and/or relevant experience in the following areas are desirable but not mandatory:
  • Documenting business requirements on a government modernization project
  • Identifying and documenting business processes contained in legacy application data systems
  • Business Analysis certifications such as PMI-PBA or CBAP
  • Quality assurance testing of application software
  • Creating operating procedures, user guides, and/or training material
  • Creating wireframe/mockups using applications such as Figma
  • Local candidates are preferred but not required.

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