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Afternoon Data Analyst R Programming Jobs in Louisiana

Extensive experience in data analysis using tools such as R, SPSS, SAS, Tableau, PowerBI, and/or other similar data tools is required. * Extensive knowledge and experience in programming and ...

TSS Data Analyst Senior

Bossier City, LA ยท Hybrid

$85K - $107K/yr

Data Science and Data Engineering Job Qualifications: Skills: Agile Methodology, People Leadership ... As a Data Analyst Senior, you will help ensure today is safe and tomorrow is smarter. Our work ...

TSS Data Analyst Senior

Bossier City, LA ยท Hybrid

$85K - $107K/yr

Data Science and Data Engineering Job Qualifications: Skills: Agile Methodology, Analytical Thinking, Analytics Certifications: None Experience: 5 + years of related experience US Citizenship ...

Data Science Tutor

New Orleans, LA ยท Remote

$18 - $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 ...

Data Science Tutor

Baton Rouge, LA ยท Remote

$18 - $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 ...

Responsible for coordination with Data Engineering, Solution Architecture, Analytics and offsite teams to: * Define integration approaches * Ensure feasibility and scalability, avoiding one-off or ...

Responsible for coordination with Data Engineering, Solution Architecture, Analytics and offsite teams to: * Define integration approaches * Ensure feasibility and scalability, avoiding one-off or ...

Data Platform Operations Analyst Category: Business Consulting, Strategy and Digital Transformation ... The successful candidate will work closely with engineering and operations teams to ensure timely ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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Afternoon Data Analyst R Programming information

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 Louisiana? The most popular types of Data Analyst R Programming jobs in Louisiana are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Louisiana look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Louisiana are:
What cities in Louisiana are hiring for Afternoon Data Analyst R Programming jobs? Cities in Louisiana with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Louisiana as of July 2026, with employment types broken down into 1% As Needed, 61% Full Time, 30% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
Data Analyst

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

About Us:
Louisiana State University of Alexandria is a publicly supported institution that provides undergraduate level college education to the citizens of Central Louisiana. The university is a unit of the LSU System and operates under the auspices of the Louisiana Board of Regents. LSUA is located in Rapides Parish.
All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Job Posting Title:
Data Analyst
Position Type:
Professional / Unclassified
Department:
LSUA ASA - Institutional Research and Effectiveness (Rocaille Von Roberts (00252662))
Work Location:
LSU - Alexandria
Pay Grade:
Professional
Job Description:
DEPARTMENT: Office of Institutional Research & Effectiveness
POSITION TITLE: Data Analyst
SUPERVISOR: Director, Office of Institutional Research & Effectiveness
PURPOSE: Responsible for supporting official university reporting. This includes
understanding and analyzing university data to produce required reports as well as providing data, trends and analyses to university stakeholders.
RESPONSIBILITIES:
  • Provide accurate data and reports to university departments as needed to enhance student success and operational efficiency across academic, student support and administrative areas.
  • Write programming scripts to enhance functionality and/or performance of university applications as necessary.
  • Work collaboratively with IET Services and other university offices to facilitate strong data governance and ensure the integrity of data in the university's data systems.
  • Develop and maintain technical documentation (e.g. data definitions, code documentation, standard operating procedures, etc) for data, reports and projects.
  • Coordinate the completion of required state and federal data reports, including but not limited to submissions to the Louisiana Board of Regents, National Student Clearinghouse, and IPEDS.
  • Respond to internal and external ad hoc requests for university data.
  • Support data needs for ongoing assessment, program review, strategic planning, accreditation and related activities.
  • Research, analyze, and interpret university data and trends to support data-driven decision-making across university stakeholders.
  • Develop dashboards and other online data tools to enhance data accessibility across university stakeholders.

QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Decision Science/Analytics, Business Administration, Applied Statistics, or a related field, or a minimum of five (5) years of experience in a database or systems analyst related field, preferably in higher education. Candidates with 3-5 years of experience in Institutional Research in higher education are strongly encouraged to apply.
  • Excellent understanding of coding methods and best practices.
  • Extensive experience in data analysis using tools such as R, SPSS, SAS, Tableau, PowerBI, and/or other similar data tools is required.
  • Extensive knowledge and experience in programming and scripting languages such as: Microsoft SQL, Python, and/or other similar languages is required.
  • Ability to design, develop, and manage relational database systems.
  • Knowledge and experience with ERP, SIS, and CRM system programming and reporting preferred.
  • Knowledge of applicable data privacy practices and laws.
  • Strong written, oral, and interpersonal communication skills.
  • Highly self-motivated and directed.
  • Extreme attention to detail is required.
  • Proven analytical and problem-solving abilities.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.

OFFICE HOURS: Eight (8) hours per day, Monday-Friday, 40 hours per week. Additional hours worked as needed.
Additional Job Description:
Competencies:
None
Special Instructions:
Application Instructions:
Please attach a Resume/CV, a cover letter, 3 references and unofficial transcripts. Official transcripts will be required upon hire.
Please attach all transcripts to your application. A background check is required for hire.
Questions or concerns about your application should be directed to LSUA Human Resources at (318) 473-6401 or hr@lsua.edu.
Skills Needed:
Communication, Customer-Focused, Data Accuracy, Detail-Oriented, IT Quality Assurance, Policy Knowledge, Time Management, Troubleshooting
Preferred Skills:
Posting Date:
July 17, 2026
Closing Date (Open Until Filled if No Date Specified):
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits - LSUA offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
Essential Position (Y/N):
LSUA is an Equal Opportunity Employer.
HCM Contact Information:
Questions or concerns can be directed to the LSU Human Resources Management Office at 318-473-6401 or emailed hr@lsua.edu