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Entry Level Data Analyst R Programming Jobs in Miami Beach, FL

Unicon Pharma Inc.

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.

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Data Analytics Engineer will support the Revenue Management Development and Systems team by ... programming languages. • Experience with SQL required. • Experience in supporting and ...

SEI

Data and Analytics Consultant

Miami, FL · On-site

... programming and scripting languages such as, but not limited to, SQL, Python and R * Experience ... in data warehousing and analytics solutions * Experience deploying enterprise-wide reporting ...

Royal Caribbean Cruises Ltd

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Works with management & other team members to understand & clarify data analysis and reporting ... Demonstrated ability to develop and implement applications using programming languages * Experience ...

New

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Works with management & other team members to understand & clarify data analysis and reporting ... Demonstrated ability to develop and implement applications using programming languages * Experience ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Miami Beach, FL

Entry Level Data Analyst R Programming information

See Miami Beach, FL salary details

$13

$32

$61

How much do entry level data analyst r programming jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for entry level data analyst r programming in Miami Beach, FL is $32.52, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.30 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What are the most commonly searched types of Data Analyst R Programming jobs in Miami Beach, FL?

The most popular types of Data Analyst R Programming jobs in Miami Beach, FL are:

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For Entry Level Data Analyst R Programming jobs in Miami Beach, FL, the most frequently searched job titles are:

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Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Miami Beach, FL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $67,632 per year, or $32.5 per hour.

Education Research & Data Analyst

AJAIA

Fort Lauderdale, FL • On-site

Full-time

Re-posted 15 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