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Afternoon Data Analyst R Programming Jobs in Merritt Island, FL

SCADA Analyst I - Dyal

Cocoa, FL · On-site

$28.98/hr

... other computer programming protocols. A SCADA Analyst I is responsible for modifying existing ... Performs backups of all data files and nodes. Coordinates with contractors who install and test ...

Intermediate to advanced programming capability [Python, C/C++, and/or SQL] * Experience with basic ... data analytics skills (i.e. Mean, Std. Dev, SPC, CPK, GR&R, ANOVA) * Familiarity with Gage ...

Intermediate to advanced programming capability [Python, C/C++, and/or SQL] * Experience with basic ... data analytics skills (i.e. Mean, Std. Dev, SPC, CPK, GR&R, ANOVA) * Familiarity with Gage ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Merritt Island, FL salary details

$35.6K

$86.6K

$142.5K

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

As of Aug 11, 2026, the average yearly pay for afternoon data analyst r programming in Merritt Island, FL is $86,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $101,600.00 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 Merritt Island, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Merritt Island, FL are:
What cities near Merritt Island, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Merritt Island, FL with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Merritt Island, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $86,598 per year, or $41.6 per hour.

Specialist, Software Engineer - Data Analyst TS/SCI

L3Harris Technologies

Melbourne, FL

Full-time

Posted 22 days ago


Job description

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Specialist, Software Engineer/Data Analyst

Job Code: 40175

Job Location: Melbourne, FL

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

We areseekinga highly skilled and motivatedSoftware Engineer/Data Analystto join our team. The ideal candidate will hold an active TS/SCIclearance.Periodic commute toPatrick Space Force Basemay berequired.

Thesuccessful candidate willbe responsible formodernizingand migratinganalytics applications into a high-performance web application using modern web technologies.

Essential Functions:

  • Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations.
  • Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices.
  • Develop secure and scalable back-end services and application logic to support mission applications and workflows.
  • Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective.
  • Integrate cloud-native services, databases, and application components across distributed environments.
  • Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines.
  • Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions.
  • Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality.
  • Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals.
  • Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities.
  • Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information.
  • Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment.
  • Familiarity with the C2S Access Portal (CAP) and high-side AWS environments.
  • Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores.
  • Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position.

Qualifications:

  • Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
  • Active TS/SCI clearance.

Preferred Additional Skills:

  • Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction.
  • Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired.
  • Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development.
  • Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS.
  • Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar.
  • Experience with RESTful APIs, microservices, and application integration patterns.
  • Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices.
  • Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred.
  • Experience building and deploying mission applications in classified or high-security environments.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar.

#LI-KT1

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Employment Type: Full-Time