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Afternoon Data Analyst R Programming Jobs in Davie, FL

Data Strategy-Manager

Miami, FL · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

... in programming languages such as Python, R, and SQL. Experience with machine learning frameworks ... Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights. b.

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Davie, FL salary details

$31.2K

$75.7K

$124.6K

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 Davie, FL is $75,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $88,900.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Davie, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Davie, FL are:
What cities near Davie, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Davie, FL with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Davie, FL as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,721 per year, or $36.4 per hour.

Education Research & Data Analyst

AJAIA

Fort Lauderdale, FL • On-site

Full-time

Re-posted 11 days ago


Job description

Role Overview
LaunchEd is an innovation platform that helps education companies prove the real-world impact of their products through independent research and evidence-based validation. We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions.
As the Education Research & Data Analyst, you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating meaningful outcomes for schools, educators, and students.
This role is ideal for someone who enjoys statistical analysis, research design, and using data to answer important business and educational questions.
Key Responsibilities
Efficacy & ROI Evaluation
• Baseline statistical benchmarks at intake and track them throughout program participation, from
intake to graduation.
• Design and run studies measuring product impact on student and operational outcomes.
• Quantify return on investment for companies and products across the LaunchEd portfolio.
• Produce independent, evidence-based evaluations that hold up to outside scrutiny.
• Produce efficacy and ROI reports on LaunchEd clients that are benchmarked against comparable
external data.
• Collaborate with higher-education and university partners to pursue university-sanctioned
research.
The LaunchEd Validation Score
• Develop and maintain the LaunchEd Validation Score as a core piece of platform IP.
• Establish a consistent, defensible methodology that can serve as a credible market standard for
edtech validation.
• Translate study findings into the standardized LaunchEd Validation Report.
In-House Study Capacity
• Deliver multiple efficacy and ROI studies per year as a repeatable in-house capability.
• Reduce reliance on external efficacy and validation vendors.
Cross-Department Support
• Provide research and analysis support across LaunchEd teams, including network grading and
accreditation.
• Partner with the deal team to feed validated outcomes into Gate 2 reviews and Investment
Committee decisions.
Requirements
• Strong quantitative and statistical analysis skills, with the ability to design and run studies
independently.
• Experience measuring efficacy, outcomes, or return on investment, ideally in education or a
related field.
• Ability to build clear, defensible methodologies and translate data into decision-ready findings.
• Familiarity with education data, student outcomes, and relevant compliance considerations such
as FERPA and COPPA is a plus.
• Proficiency with data analysis tools such as Excel, SQL, and Python or R, and clear data
visualization.
• Detail orientation, independence, and discretion handling confidential company and student data.
• Alignment with LaunchEd's mission and the Strong Minds, Good Hearts ethos.
Benefits
  • Competitive base salary + performance incentives
  • Professional development opportunities