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Afternoon Data Analyst R Programming Jobs in Lafayette, LA

CGI Inc.

Junior Business Analyst

Lafayette, LA · On-site

$25.25 - $34/hr

... your data and using cookies - Learn more. Position Description: The ideal candidate for this ... Interact with advanced busines analysts and solution developers to communicate and validate ...

Global Data Systems Inc.

NOC Engineer 4

Lafayette, LA · On-site

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 ...

Global Data Systems Inc

NOC Engineer 4

Lafayette, LA · On-site

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 ...

Stuller

Information Security Analyst

Lafayette, LA · On-site

... 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 ...

Stuller

Information Security Analyst

Lafayette, LA · On-site

... 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 ...

CGI Inc.

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 ...

CIS LLC

Energy Engineer

Lafayette, LA · On-site

Collect, trend, and analyze field data (temperatures, flows, pressures, run times, etc). * Perform ... Work closely with: * Mechanical engineers * Controls contractors * Facility managers

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Afternoon Data Analyst R Programming information

See Lafayette, LA salary details

$32.5K

$78.9K

$129.9K

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

As of Jul 14, 2026, the average yearly pay for afternoon data analyst r programming in Lafayette, LA is $78,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 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, 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.
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Afternoon Data Analyst R Programming jobs near you
Director of Data Product & Enablement

Director of Data Product & Enablement

SCP Health

Lafayette, LA

$222K - $233K/yr

Full-time

Posted 3 days ago

New

SCP Health rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

SCP Health is seeking a data leader to drive the architecture, governance, and delivery of enterprise data assets across analytics, AI/ML, and operations. You will lead a multi-disciplinary team spanning data acquisition, data engineering, data governance, data product management, and business analysis, ensuring data assets are scalable, secure, and trusted for decision-making.

Join SCP Health to shape data strategy in a growing healthcare landscape, partnering with clinical and IT stakeholders

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