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Afternoon Data Analyst R Programming Jobs in Louisiana

Tech Consulting

Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis ... Knowledge of R Programming is a plus. Qualifications * Bachelor's Degree in Computer Science ...

New

GDIT

TSS Data Analyst Senior

Bossier City, LA · 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 ...

Cleco

Asset Management Data Analyst

Pineville, LA

Bachelor's degree in Information Systems, Data Analytics, Computer Science, Engineering, or a related field. * 3 - 8 years of experience in a data analytics or business intelligence role preferred.

Varsity Tutors

Data Science Tutor

New Orleans, LA · 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 ...

Varsity Tutors

Data Science Tutor

Baton Rouge, LA · 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 ...

Pwc

Data Strategy-Manager

New Orleans, LA

$99K - $232K/yr

... 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 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 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Louisiana?

For Afternoon Data Analyst R Programming jobs in Louisiana, the most frequently searched job titles 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:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Software Engineer

Tech Consulting

On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Entry-level Software Engineer

Full-Time

Candidate must be open to relocate.


We are seeking a motivated Software Engineer with a strong interest in data engineering, machine learning, and analytics. The ideal candidate will assist in developing scalable data solutions, building data pipelines, analyzing data, and supporting AI-driven initiatives. This role is ideal for candidates with 1–4 years of experience who are eager to build their careers in data engineering and artificial intelligence.


Key Responsibilities

  • Develop, test, and maintain data engineering and AI solutions using Python.
  • Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis.
  • Design and support end-to-end data pipelines and workflows.
  • Collect, clean, transform, and analyze structured and unstructured data.
  • Collaborate with developers, data engineers, analysts, and business stakeholders to understand requirements.
  • Support the development of machine learning and AI solutions.
  • Automate repetitive data processing tasks using Python.
  • Troubleshoot and resolve data pipeline and database-related issues.
  • Document technical solutions, workflows, and development processes.
  • Stay updated with emerging technologies and industry best practices.


Required Skills

  • 1–4 years of experience in Data Engineering, Data Analytics, Machine Learning, or AI Engineering.
  • Strong proficiency in Python programming.
  • Good understanding of SQL and relational databases.
  • Experience developing end-to-end data solutions.
  • Knowledge of data processing, ETL concepts, and data transformation techniques.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.


Preferred Skills

  • Experience with one or more cloud platforms such as AWS, Azure, or Databricks.
  • Knowledge of PySpark, AWS S3, Lambda, EC2, Airflow, or GCP.
  • Familiarity with Machine Learning, Generative AI, or Computer Vision.
  • Understanding of probability and statistical concepts.
  • Experience with GitLab or other version control systems.
  • Knowledge of R Programming is a plus.


Qualifications

  • Bachelor's Degree in Computer Science, Information Systems, Mathematics, or a related quantitative field.
  • A relevant Master's degree is a plus.
  • Strong written and verbal English communication skills.
  • Must be willing to relocate anywhere within the United States for onsite client projects.


Thank you

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