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Entry Level Data Analyst R Programming Jobs in West Palm Beach, FL

Sr. Data Analyst

Juno Beach, FL · On-site

$84K - $106K/yr

Local candidates to FL are preferred because 2nd round will be in person interview Seeking a Senior Data Analyst / Data Engineer to design, develop, and maintain enterprise data solutions, including ...

... PowerShell programming languages. * Preferred experience with debugging and development in R, HTML and Bash. * Preferred familiarity with data mining, statistical analysis, data visualization ...

... PowerShell programming languages. * Preferred experience with debugging and development in R, HTML and Bash. * Preferred familiarity with data mining, statistical analysis, data visualization ...

Be Seen First

Position Summary As an Entry Level Risk Analyst, you will work alongside underwriters to evaluate ... Data entry into IT platform. * Assist with portfolio analysis and special projects. * Perform other ...

Be Seen First

Position Summary As an Entry Level Risk Analyst, you will work alongside underwriters to evaluate ... Data entry into IT platform. * Assist with portfolio analysis and special projects. * Perform other ...

... Database Engineer will work to ensure files collected through various methods are normalized and structured for import. Additionally, this individual will focus on maintaining data integrity ...

... Database Engineer will work to ensure files collected through various methods are normalized and structured for import. Additionally, this individual will focus on maintaining data integrity ...

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Entry Level Data Analyst R Programming information

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

As of Sep 1, 2026, the average hourly pay for entry level data analyst r programming in West Palm Beach, FL is $31.85, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $35.58 per hour, depending on experience, location, and employer.

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

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

What are popular job titles related to Entry Level Data Analyst R Programming jobs in West Palm Beach, FL?

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

What job categories do people searching Entry Level Data Analyst R Programming jobs in West Palm Beach, FL look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in West Palm Beach, FL are:

What cities near West Palm Beach, FL are hiring for Entry Level Data Analyst R Programming jobs?

Cities near West Palm Beach, FL with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in West Palm Beach, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,244 per year, or $31.8 per hour.

Sr Energy Market Analyst (Engineering)

Juno Beach, FL


NextEra Energy

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

19th of 53 rated energy and utility

Great coworkers

People enjoy working here

Good employer


Full-time

Re-posted 24 days ago


Job description

Requisition ID:  96128 

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.
 

Position Specific Description

We are seeking a Senior Energy Quantitative Analyst to develop and optimize models for renewable energy generation, energy storage systems, and traditional utility assets. This role combines advanced quantitative analysis with power systems expertise to solve complex energy optimization problems. The analyst will develop mathematical models, perform quantitative studies of energy markets, and support trading, origination, and asset optimization decisions through sophisticated analytical tools and algorithms.

Key Responsibilities 

Perform pre-construction size optimizations for renewable generators (distributed/behind-the-meter and utility-scale), battery storage systems, and traditional generators

Develop and improve mathematical models and optimization algorithms using Python, R, and Excel

Optimize generator mix and sizing to serve electrical loads while meeting carbon reduction goals Work with trading and origination teams to interpret model valuations and respond to structured transaction requests

Design and construct risk management tools for evaluating company risk profiles and exposure levels

Review and provide feedback on technical documentation, software architecture, and project plans

Incorporate quantitative studies and analyses of spot/forward energy prices and volatilities for pricing, trading, and risk management into design optimization.

Possess knowledge of the principles involved in developing energy price forecasts, forward curves, and volatility models and apply these insights in making informed modeling decisions.

 

Preferred Qualifications 

Master's Degree in Engineering, Mathematics, Finance, Economics, or related quantitative field

2+ years of experience in quantitative analysis, energy markets, or related field

Advanced proficiency in Python and/or R programming with 2+ years of commercial software development experience

Strong mathematical and statistical modeling capabilities

 Power flow modeling experience or software development for power flow applications 

 Transmission planning and system analysis experience 

 Contingency analysis and power system reliability assessment skills 

Experience with distributed generation and behind-the-meter renewable solutions

Knowledge of utility tariff structures and integrated resource planning

Experience with energy market participation rules (Day-Ahead and Real-Time markets)

Proficiency with Python libraries: NumPy, Pandas, StatsModels, Matplotlib/Seaborn, Scikit-Learn, SciPy

Experience with code refactoring, OOP in Python/R, and package management

Unix/Linux and Windows development experience; AWS experience a plus

Web development, data visualization, or GUI development skills (RShiny, plotly, bokeh, Jupyter)

Knowledge of renewable energy and battery storage technologies


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