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Afternoon Data Analyst R Programming Jobs in Hurlburt Field, FL

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · On-site

$79K - $134K/yr

We are seeking an experienced Data Engineer to design, build, and maintain large-scale data ... Work with cross-functional teams, including data scientists, analysts, and business stakeholders ...

Clarity Innovations

Data Architect

Hurlburt Field, FL · On-site

$58.25 - $74.75/hr

Our mission-first software and data engineering platform modernizes data operations, utilizing ... effective analysis and decision making. As a subject matter expert, the Data Architect will ...

Kent Outdoors

Sales Operations Analyst

Destin, FL · On-site

... afternoon, who sees a broken process and wants to fix the system. Candidate will report to the ... Help launch and administer BOTE's CRM platform, then own day-to-day data hygiene, pipeline accuracy ...

GDIT

Biostatistician

Hurlburt Field, FL · On-site

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Datasource, Data ... Strong proficiency in Python or R for analytics, ML, and data manipulation, with disciplined ...

K2 Group, Inc.

Nuclear Analyst

Hurlburt Field, FL · On-site

Proficiency in data analysis, programmatic research, and developing technical reports and ... Relations, Nuclear Engineering, or a similar discipline. Required Educational Background:

K2 Group Inc.

Nuclear Analyst

Hurlburt Field, FL · On-site

Proficiency in data analysis, programmatic research, and developing technical reports and ... Relations, Nuclear Engineering, or a similar discipline. Required Educational Background:

Booz Allen Hamilton

Nuclear Analyst

Hurlburt Field, FL · On-site

$61K - $141K/yr

Your technical proficiency, data analysis skills, and regulatory expertise will underpin the safe ... Bachelor's degree in Nuclear Engineering, Physics, Nuclear Physics, Chemistry, or Engineering Nice ...

Booz Allen Hamilton, Inc.

Nuclear Analyst

Hurlburt Field, FL · On-site +1

$61K - $141K/yr

Your technical proficiency, data analysis skills, and regulatory expertise will underpin the safe ... Bachelor's degree in Nuclear Engineering, Physics, Nuclear Physics, Chemistry, or Engineering Nice ...

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Afternoon Data Analyst R Programming information

See Hurlburt Field, FL salary details

$31K

$75.4K

$124.1K

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 Hurlburt Field, FL is $75,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $88,500.00 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 Hurlburt Field, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Hurlburt Field, FL are:
What cities near Hurlburt Field, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Hurlburt Field, FL 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 Hurlburt Field, FL as of July 2026, with employment types broken down into 1% As Needed, 57% Full Time, 33% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $75,382 per year, or $36.2 per hour.

Data Eng Sr

BAE Systems

Fort Walton Beach, FL • On-site

$79K - $134K/yr

Full-time

Re-posted 18 days ago

BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

10th of 49 rated military and defense

Job description


We are seeking an experienced Data Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools.
Key Responsibilities:
  • Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources
  • Build and maintain data warehouses, including data modeling, data governance, and data quality
  • Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies
  • Optimize data systems for performance, scalability, and reliability
  • Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift
  • Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions
  • Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling
  • Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning
  • Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Work with data scientists to develop and deploy data-driven products and features
  • Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks
  • Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues

Required Skills and Education
  • Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology, or equivalent experience.
  • Proficiency in one or more programming languages (e.g., Python, Java, Scala)
  • 6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems
  • 5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server.
  • 5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases
  • Strong understanding of database design principles, data modeling, and data governance
  • Proficiency in SQL, including query optimization, indexing, and performance tuning
  • Experience with data warehousing concepts, including star and snowflake schemas
  • Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components
  • Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and cloud-based data warehouses (Redshift)
  • Experience with data processing frameworks such as Apache Kafka, Fivetran
  • Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark
  • Understanding of data quality and governance principles and best practices
  • Experience with AWS services and best practices
Soft Skills:
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components
  • Ability to work in a fast-paced environment and adapt to changing priorities
  • Strong attention to detail and ability to maintain high-quality documentation
  • Commitment to continuous learning and professional development

Preferred Skills and Education
  • Experience with Dataiku
  • Experience with building reports using PowerBI and Tableau
  • Familiarity with agile development methodologies and version control systems such as Git
  • Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer)
  • Experience with agile development methodologies such as Scrum or Kanban
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About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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