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Python Analyst Jobs in Florida (NOW HIRING)

Description Milliman's Tampa Health practice is seeking an Actuarial Analyst who will perform data analysis and actuarial projections using Excel, SQL, SAS, Python or other tools while working with ...

Actuarial Analyst

Tampa, FL · On-site

$67K - $136K/yr

Description Milliman's Tampa Health practice is seeking an Actuarial Analyst who will perform data analysis and actuarial projections using Excel, SQL, SAS, Python or other tools while working with ...

Performance Analyst

Tampa, FL · On-site

$80K - $100K/yr

Proven use of AI tools (ChatGPT, Copilot, Python GPT libraries, etc.) to automate analysis or generate insights * Comfortable working with large, messy datasets and turning them into clear ...

Performance Analyst

Tampa, FL · On-site

$80K - $100K/yr

Proven use of AI tools (ChatGPT, Copilot, Python GPT libraries, etc.) to automate analysis or generate insights * Comfortable working with large, messy datasets and turning them into clear ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Familiarity with Python, PowerBI, Advana, or Envision * Top Secret clearance eligible for SCI is ...

Accounting Analyst

Jacksonville, FL · On-site

$50K - $66K/yr

Interest in analytics/tools (Power BI, Power Query, SQL, Python) and/or familiarity with SharePoint. * Automotive/dealership accounting experience and/or familiarity with dealership systems (CDK ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Familiarity with Python, PowerBI, Advana, or Palantir * Top Secret clearance eligible for SCI is ...

Showing results 41-60

Python Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do python analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for python analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What is a Python analyst?

A Python Analyst is a professional who uses Python to analyze data, build models, and automate tasks. They work with large datasets, extract insights, and create reports to support decision-making. Their role often involves data cleaning, visualization, statistical analysis, and scripting for process automation. Python Analysts are commonly found in industries such as finance, healthcare, marketing, and technology. Strong analytical skills, programming expertise, and knowledge of data analysis libraries like Pandas and NumPy are essential for this role.

What are the typical daily responsibilities of a Python analyst?

Python Analysts spend their days gathering, cleaning, and analyzing large datasets to uncover actionable insights for their organizations. They write and maintain Python scripts to automate repetitive tasks and use data visualization tools to present their findings to stakeholders. Collaboration with data scientists, business analysts, and IT team members is common, as analysts work to translate data into meaningful recommendations. You'll also regularly validate data quality, troubleshoot code, and stay current with best practices in data analytics. This role offers a dynamic mix of technical work and cross-functional teamwork.

What are the key skills and qualifications needed to thrive in the Python analyst position, and why are they important?

To thrive as a Python Analyst, you need strong proficiency in Python programming, data analysis, and statistical methods, often supported by a degree in computer science, mathematics, or a related field. Experience with data visualization tools, SQL databases, and certifications such as Microsoft Certified: Data Analyst Associate or relevant Python credentials are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help set top candidates apart. These skills ensure the accurate analysis and presentation of data, enabling informed decision-making and collaboration within organizations.

What are the most commonly searched types of Python Analyst jobs in Florida?

The most popular types of Python Analyst jobs in Florida are:

Infographic showing various Python Analyst job openings in Florida as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Sr Energy Market Analyst (Engineering)

NextEra Energy

Juno Beach, FL

Full-time

Re-posted 9 days ago


NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

23rd of 53 rated energy and utility


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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