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Afternoon Data Analyst R Programming Jobs in Baton Rouge, LA

State of Louisiana

DATA COORDINATOR

Baton Rouge, LA · On-site

... analysis, and reporting of district-wide data to support instructional improvement, operational ... R.S 17:3884(D) requires that any school board wishing to hire a person who has been assessed or ...

State of Louisiana

DATA COORDINATOR

Baton Rouge, LA · On-site

... analysis, and reporting of district-wide data to support instructional improvement, operational ... R.S. 17:3884(D) requires that any school board wishing to hire a person who has been assessed or ...

Kuvare Holdings

Data Engineer

Baton Rouge, LA · On-site

$110K - $132K/yr

The Data Engineer will manage data retrieval, storage, and distribution across various platforms ... • Analytic and problem-solving skills and experience. • Excellent written and oral ...

Danaher

Digital Analyst Internships

Baton Rouge, LA

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Wood Plc

GIS Analyst - FEMA

Baton Rouge, LA · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customize GIS workflow and software programs for data collection, engineering, and environmental ...

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

HGA

Cost Control Analyst

Baton Rouge, LA · On-site

... Rouge Engineering office. Position Overview * The Cost Control Analyst analyzes the project financial data and forecasted data and communicates with Project Mangers as it relates to the budget

J H Operating Company LLC

Be Seen First

Project Engineer - Oil & Gas

Baton Rouge, LA · On-site

$90K - $130K/yr

Experience with programming, AI, data analytics (Coding agents, Python, R, VBA, SQL, etc.). * A mindset that balances technical proficiency with practical outcomes. Why J H? Real growth opportunities ...

J H Operating Company LLC

Be Seen First

Project Engineer - Oil & Gas

Baton Rouge, LA · On-site

$90K - $130K/yr

Experience with programming, AI, data analytics (Coding agents, Python, R, VBA, SQL, etc.). * A mindset that balances technical proficiency with practical outcomes. Why J H? Real growth opportunities ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Baton Rouge, LA

Afternoon Data Analyst R Programming information

See Baton Rouge, LA salary details

$32.6K

$79.4K

$130.6K

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

As of Jun 20, 2026, the average yearly pay for afternoon data analyst r programming in Baton Rouge, LA is $79,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 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.
What are the most commonly searched types of Data Analyst R Programming jobs in Baton Rouge, LA? The most popular types of Data Analyst R Programming jobs in Baton Rouge, LA are:
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What cities near Baton Rouge, LA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Baton Rouge, LA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data Sciences Director

Virginia Farm Bureau Mutual

Baton Rouge, LA

Full-time

Posted 17 hours ago

Job description

Essential Functions & Qualifications

Identify actionable business insights hidden within existing reports and datasets. Communicate these insights to Executive Leadership Team to support strategic and operational decisions.

Formulate and investigate new business questions in response to evolving challenges and opportunities. Interrogate data to uncover trends, correlations, and anomalies not previously considered, e.g. surfacing insights that can influence decisions around pricing, risk selection, target marketing, distribution strategy, claims handling, and customer experience.

Work cross-functionally with actuarial teams and management reporting experts to amplify analytical capabilities. Lead collaborative efforts to build unified data narratives that drive clarity and foresight.

Develop new, innovative reporting models that go beyond standard KPIs. Propose fresh reporting structures that illuminate emerging performance drivers or risk indicators.

Translate ambiguous business challenges into structured analyses using internal datasets. Recommend solutions or mitigation strategies based on rigorous data interpretation.

Present findings, insights, and recommendations in a clear, compelling way tailored to executive audiences. Support strategic planning sessions and performance reviews with data-backed perspectives.

5-8 plus years of progressive experience in data science, advanced analytics, or business intelligence required.

Strong working knowledge of P&C insurance operations, underwriting, claims, and financial performance metrics required.Familiarity with actuarial and management reporting processes, able to collaborate fluently across both required.

Proven experience delivering insights that influence business decisions at the executive level required.

Expert-level proficiency in SQL, Python, R, or other data interrogation tools required.

Strong data visualization skills using Tableau, Power BI, or equivalent platforms required.

Exceptional communication and storytelling skills, able to bridge the gap between data complexity and business clarity required.

Familiarity with agentic and generative AI tools to enhance data interrogation, automate insight generation, or prototype analytical frameworks required.

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