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Afternoon Data Analyst R Programming Jobs in Abbeville, LA

CGI Inc.

Data Engineer

Lafayette, LA · On-site

$109K - $131K/yr

  • Retirement

  • PTO

Data Engineer Category: Business Consulting, Strategy and Digital Transformation Main location ... into downstream analytics and reporting environments. The successful candidate will own the ...

Home Bank

Business Analyst

Lafayette, LA · On-site

Experience with data analysis and visualization tools, project management software, and business process modeling tools. * Experience in business process engineering and creating functional process ...

SCP Health

Value-Based Care Performance Analyst

Lafayette, LA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analyzes data and summarizes performance using summary statistical procedures. * Develops and ... engineering, computer science * Graduate Degree preferred (MBA or MS in quantitative field) WORK ...

Brenntag

Logistics Analyst

Maurice, LA · On-site

  • Medical

  • Retirement

Monitor real-time telemetry data from various field operations, vehicles, or assets, to identify ... Bachelor's degree in supply chain management, Business, or Industrial Engineering * 2 plus years of ...

Cherokee Federal

Scientist VII

Lafayette, LA · On-site

$71K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

R programming * Restoration effectiveness * Land-change analysis * 5 similar job titles * Senior Coastal Scientist * Quantitative Ecologist * Coastal Restoration Scientist * Ecological Data Scientist

micro1 AI

Director of Biostatistics

Lafayette, LA · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

micro1 AI

Director of Biostatistics

Lafayette, LA · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

CGI Inc.

Business Analyst (with Power BI)

Lafayette, LA · On-site

  • Retirement

  • PTO

... data analysis skills with the ability to consolidate, model, and interpret large datasets. • ... Engineering, or a related field (or equivalent professional experience). CGI is required by law in ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Abbeville, LA

Afternoon Data Analyst R Programming information

See Abbeville, LA salary details

$24.1K

$58.5K

$96.3K

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

As of Aug 12, 2026, the average yearly pay for afternoon data analyst r programming in Abbeville, LA is $58,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,300.00 and $68,700.00 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?

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 cities near Abbeville, LA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Abbeville, LA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Abbeville, LA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $58,537 per year, or $28.1 per hour.

Healthcare Data Analyst (On-Site in Lafayette, LA)

FMOLHS

Lafayette, LA

Full-time

Re-posted 8 days ago

Job description

This role will be located on-site in Lafayette, LA.

The Healthcare Data Analyst 2 plays a crucial role in analyzing and interpreting complex health data to help improve patient outcomes, operational efficiency, and overall healthcare delivery within our health system. The ideal candidate will have advanced analytical skills, a strong understanding of healthcare data, and the ability to work collaboratively with various stakeholders across the organization.

Education: Bachelor's degree in Health Informatics, Data Science, Statistics, Public Health, Business/Healthcare Administration or a related field.

Experience: Minimum of 3 years of experience in healthcare data analysis or a related field including internship.

Technical Skills: Proficiency in data analysis tools and software, such as SQL, SAS, R, Python, or Tableau. Strong understanding of electronic health records (EHR) systems, healthcare databases, and data standards (e.g., ICD-10, CPT codes).

Analytical Skills: Advanced analytical and problem-solving skills. Ability to interpret complex data sets and provide meaningful insights.

Communication Skills: Excellent verbal and written communication skills. Ability to present data findings clearly and concisely to non-technical stakeholders.

Attention to Detail: Strong attention to detail and commitment to data accuracy and quality.

Team Player: Ability to work effectively in a collaborative, team-oriented environment.

Data Analysis and Reporting: Perform advanced data analysis to support clinical and operational decision-making. Generate comprehensive reports and data visualizations to communicate findings effectively.

Data Management: Ensure the accuracy, integrity, and security of healthcare data. Manage data extraction, transformation, and loading (ETL) processes.

Performance Metrics: Develop and monitor key performance indicators (KPIs) to assess the effectiveness of clinical and operational processes. Provide actionable insights to improve performance.

Research and Evaluation: Conduct research and evaluation projects to assess the impact of healthcare interventions and programs. Collaborate with clinical and administrative teams to design and implement studies.

Compliance and Standards: Ensure compliance with relevant regulations, standards, and best practices in healthcare data management and analysis.

Collaboration: Work closely with IT, clinical, and administrative teams to identify data needs and provide analytical support. Participate in cross-functional projects and initiatives.
 

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