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Afternoon Data Analyst R Programming Jobs in New Iberia, LA

Ability to read, analyze, and interpret general business periodicals, professional journals ... Data Center * MSCA on Windows server OS required. * CCNP Data Center required. * VCP-DCV VMWare ...

Ability to read, analyze, and interpret general business periodicals, professional journals ... Data Center * MSCA on Windows server OS required. * CCNP Data Center required. * VCP-DCV VMWare ...

Ability to read, analyze, and interpret general business periodicals, professional journals ... Data Center * MSCA on Windows server OS required. * CCNP Data Center required. * VCP-DCV VMWare ...

... engineers investigate incidents, make rapid decisions on response actions, and maintain the ... Analyze data to identify recurring issues, emerging risks, and opportunities to improve monitoring ...

... engineers investigate incidents, make rapid decisions on response actions, and maintain the ... Analyze data to identify recurring issues, emerging risks, and opportunities to improve monitoring ...

Job Purpose and Impact The Process Engineer applies engineering techniques to assist in the ... Strong data analysis capabilities including continuous improvement experience or certifications

Sr. Business Analyst

Lafayette, LA · On-site

$88K - $114K/yr

Analyze data to determine business problems, trends, or opportunities for process improvements ... Work with customers, Software Engineers, Architects, and other team members to capture capability ...

Job Purpose and Impact The Process Engineer applies engineering techniques to assist in the ... Strong data analysis capabilities including continuous improvement experience or certifications

Job Purpose and Impact The Process Engineer applies engineering techniques to assist in the ... Strong data analysis capabilities including continuous improvement experience or certifications

Showing results 21-40

Afternoon Data Analyst R Programming information

See New Iberia, LA salary details

$27.6K

$67K

$110.2K

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 New Iberia, LA is $66,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $78,600.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in New Iberia, LA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in New Iberia, LA are:
What cities near New Iberia, LA are hiring for Afternoon Data Analyst R Programming jobs? Cities near New Iberia, LA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in New Iberia, LA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,989 per year, or $32.2 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Lafayette, LA • Remote

$90 - $120/hr

Part-time

Posted 16 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.