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Afternoon Data Analyst R Programming Jobs in Melbourne, FL

Booz Allen Hamilton

Azure Data Engineer

Melbourne, FL · On-site

$62K - $141K/yr

Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You'll sharpen your skills in analytical exploration and data examination while you support the ...

L3HHCM20

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Lead, Data Engineer Job Code: 41065 Job Location: Melbourne, FL or Remote Opportunity Job Schedule ... data analytics at scale * Collaborate with cross-functional teams to define data governance ...

L3HHCM20

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

... data analytics at scale * Collaborate with cross-functional teams to define data governance ... engineering role, ideally supporting enterprise-scale data and analytics platforms * 4+ years of ...

Danaher

Digital Analyst Internships

Melbourne, FL · On-site

$91K - $107K/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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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Melbourne, FL

Afternoon Data Analyst R Programming information

See Melbourne, FL salary details

$31.5K

$76.6K

$126.1K

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

As of Aug 10, 2026, the average yearly pay for afternoon data analyst r programming in Melbourne, FL is $76,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Melbourne, FL? The most popular types of Data Analyst R Programming jobs in Melbourne, FL are:
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Afternoon Data Analyst R Programming jobs near you

Staff Test Engineer

Renesas Electronics

Palm Bay, FL

Full-time

Re-posted 24 days ago

Job description

Company Description

Our PAT (Probe, Assembly, & Test) Operations Group is looking for a talented Staff Test Engineer to join our team in our Palm Bay, FL office. Our team develops and manufactures Radiation Hardened ICs to service the Space Industry. You will work on a production test floor onsite, and duties will include reviewing test methodologies, analyzing test hardware schematics, data analysis, and evaluating test solutions for production readiness. You will also be responsible for transferring test solutions from legacy platforms, supporting the production test team, and debugging test programs.

Job Description
  • Transfer test solutions from legacy tester to Eagle or Flex testers.
  • Includes generating test hardware and software
  • Analyze test hardware schematics on existing products for revenue support
  • Drive improvements in test methodology by implementing industry standard best practices and reliability strategies.
  • Become a subject matter expert in the test software/hardware debugging and help to mentor junior team members.
  • Identify yield enhancement opportunities and develop projects to resolve them
  •  Experience with debugging and developing test programs for analog products on Eagle and Flex test systems. (ETS364, Teradyne microFlex, or similar platform preferred).
  • Intermediate to advanced programming capability [Python, C/C++, and/or SQL]
  • Experience with basic Unix / Linux environments
  • Understanding of basic statistics and JMP data analytics skills (i.e. Mean, Std. Dev, SPC, CPK, GR&R, ANOVA)
  • Familiarity with Gage Reproducibility and Repeatability (GR&R) studies
  • Familiarity with performing transient analysis/spike check/deglitching on automated test solutions
Qualifications
  • US Citizen or Permanent Resident
  • Candidate must possess a minimum bachelor's degree (or equivalent) in Electrical/Electronic Engineering, Computer Engineering, or MicroElectronic Engineering
  • 5-10+ Years experience in test engineering role, preferably using automated test equipment in the semiconductor industry
  • Candidate should be self-motivated and conscientious
  • Candidate must have excellent verbal and written communication skills.
  • Candidate must have good presentation skills.
Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on worldleading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.

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