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Afternoon Data Analyst R Programming Jobs in Pensacola, FL

Boeing

Entry-Level F-15 Flight Test Data Engineer

Eglin, FL · On-site

$51 - $67.25/hr

Performance of root-cause analysis/troubleshooting to identify and sort actual problems from non ... R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

Booz Allen Hamilton

Combat Data Systems Engineer

Eglin, FL · On-site

$62K - $141K/yr

You Have: * 5+ years of experience in an engineering, technical acquisition, software, or data analysis position * 3+ years of experience in engineering design or requirements development * Knowledge ...

Danaher

Quality Engineering Manager

Pensacola, FL · On-site

Leverage statistical analysis and data visualization in Microsoft Excel to guide quality ... R, validation (IQ/OQ/PQ), cleanroom environments, and DOE to support risk-based, data-driven ...

Danaher

Digital Analyst Internships

Pensacola, FL · On-site

$88.10K - $104.20K/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 ...

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$32.1K

$78.1K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Pensacola, FL is $78,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,700.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Pensacola, FL? For Afternoon Data Analyst R Programming jobs in Pensacola, FL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Pensacola, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Pensacola, FL are:
What cities near Pensacola, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Pensacola, FL with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Senior Data Scientist (Credit Risk Modeling)

Senior Data Scientist (Credit Risk Modeling)

Navy Federal Credit Union

Pensacola, FL • On-site

Full-time

Posted yesterday

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services

Job description

Job Summary:
Navy Federal Credit Union is a prominent financial institution seeking a Senior Data Scientist to provide independent data science and analytical insights. The role involves designing predictive models, analyzing data to support decision-making, and collaborating with teams to drive business objectives.
Responsibilities:
• Design, develop, and evaluate moderately complex predictive models and advanced algorithms
• Identifies meaningful insights from large data and metadata sources
• Test hypotheses/models, analyze, and interpret results
• Exercise sound judgment and discretion within defined procedures and practices
• Develop and code moderately complex software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data and provide insights
• Develop understanding of best practices and ethical AI
• Transform data into charts, tables, or format that aids effective decision making
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
Qualifications:
Required:
• 3-5 years of experience in exploratory data analysis
• Basic understanding of business and operating environment
• Statistics
• Programming, data modeling, simulation, and advanced mathematics
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Working knowledge of procedures, instructions, and validation techniques
• Model Development
• Communication
• Critical Thinking
• Collaborate and Build Relationships
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Sound Judgment
• Problem Solving (Responds as problems and issues are identified)
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Preferred:
• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Company:
Since 1933, Navy Federal has grown from seven members to over 4 million members. And since that time, their vision statement has remained Founded in 1933, the company is headquartered in Vienna, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Navy Federal Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

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Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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