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Python Data Analyst Jobs in Florida (NOW HIRING)

Félix

Data Analyst, Fraud

Miami, FL · On-site +1

Strong knowledge of reporting packages (Looker, Tableau, or similar) and programming (Python ... analyze, and disseminate large amounts of data to extract meaningful insights. * Adept at writing ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL

Experience navigating within the Linux environment Experience running programs in python, Matlab ... data Experience with data fusion analytics Experience with Magnitude, Distance, Amplitude ...

Deloitte

Clinical Data Analyst

Lake Mary, FL · Hybrid

Work You'll Do As a Delivery Consultant, AI and Analytics Solutions on the team, you will ... Write Python and SQL scripts to pull and transform clinical activity data from Oracle EHR data ...

AJAIA

Data Analyst Researcher

Fort Lauderdale, FL · On-site

As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You ... Python or R, and clear data visualization. • Detail orientation, independence, and discretion ...

AJAIA

Research & Data Analyst

Fort Lauderdale, FL · On-site

As the Research & Data Analyst , you'll build and deliver the research behind those decisions. You ... Python or R, and clear data visualization. • Detail orientation, independence, and discretion ...

AJAIA

Data Analyst Researcher

Fort Lauderdale, FL · On-site

As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You ... Python or R, and clear data visualization. • Detail orientation, independence, and discretion ...

AJAIA

Research & Data Analyst

Fort Lauderdale, FL · On-site

As the Research & Data Analyst , you'll build and deliver the research behind those decisions. You ... Python or R, and clear data visualization. • Detail orientation, independence, and discretion ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Experience running programs in python, Matlab, or other scientific software. * Demonstrated ... Experience with data fusion analytics. * Experience with Magnitude, Distance, Amplitude Correction ...

Booz Allen Hamilton

Senior Data Analyst

Hurlburt Field, FL · On-site

$78K - $99K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Knowledge of object-oriented programming language, such as Python, Java, or C++ * TS/SCI clearance

ENSCO - Hot Jobs

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

... python, Matlab, or other scientific software • Demonstrated experience with Microsoft Office ... data fusion analytics • Experience with Magnitude, Distance, Amplitude Correction (MDAC ...

Appodeal

Financial Data Analyst

Parkland, FL

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... Python - a plus. * Experience with BI tools (Tableau, Looker, Power BI) - a plus. Skills ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

... python, Matlab, or other scientific software • Demonstrated experience with Microsoft Office ... data fusion analytics • Experience with Magnitude, Distance, Amplitude Correction (MDAC ...

MGT

Data Analyst - Global/Offshore

Tampa, FL · Remote

Experience in coding programs such as Python, SQL, R, or similar. * Experience in building or analyzing data models using AI/ML tools to identify trends, generate insights, and support datadriven ...

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Python Data Analyst information

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$25.4K

$61.8K

$101.6K

How much do python data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for python data 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 does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Florida? The most popular types of Python Data Analyst jobs in Florida are:
What are popular job titles related to Python Data Analyst jobs in Florida? For Python Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Florida look for? The top searched job categories for Python Data Analyst jobs in Florida are:
What cities in Florida are hiring for Python Data Analyst jobs? Cities in Florida with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Florida as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Data Analyst, Fraud

Félix

Miami, FL • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Us

At Félix, we are building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI‑powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting‑edge technology such as AI, blockchain, and stablecoins to make cross‑border payments faster, more affordable, and more accessible than ever before.

We are a hyper‑growth Series B company, backed by over $100 million in funding from top‑tier global investors. The founders have received recognition as “Endeavour Entrepreneurs” and have earned the CrossTech FinTech Startups Award. Our team is dedicated, highly skilled, and united by a shared mission: empowering our customers and creating sustainable value.

About the Role

We are looking for a passionate Data Analyst with experience in risk and fraud prevention. You will work closely with Risk Operations, Payments, Growth, and Senior Management to identify risky patterns and transform insights into actionable strategies.

Responsibilities
  • Be responsible for key performance metrics such as fraud losses, false positives, and operational efficiency.
  • Deep‑dive into past and ongoing fraudulent trends, provide data‑driven insights, and build solutions and dashboards for continuous monitoring.
  • Build and maintain fraud features, rules, and models in response to evolving fraud behaviors.
  • Execute human‑in‑the‑loop reviews to complement automated systems.
  • Review operational processes and systems, build feedback loops, and drive improvements.
Requirements
  • Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related discipline.
  • 3–5 years of experience as a Data Analyst.
  • 2+ years of experience in Risk, Fraud investigations, or Trust & Safety.
  • Advanced SQL proficiency.
  • Strong knowledge of reporting packages (Looker, Tableau, or similar) and programming (Python, including Python machine‑learning libraries).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data to extract meaningful insights.
  • Adept at writing queries, reports, and presenting findings.
  • Curious and eager to delve deep into data to uncover fraudsters.
  • Advanced English proficiency.
Why this role matters

You will act as the connective tissue between our users, data, and product decisions. Your work will directly shape how we prioritize, focus, and accelerate growth.

What We Offer
  • Competitive salary
  • Initial stock options grant
  • Annual performance bonus
  • Health, dental, and vision plans
  • Remote work environment (with office locations in Miami and Mexico City; hybrid model available for those who choose)
  • Continuous learning opportunities
  • Unlimited PTO
  • Paid parental leave
  • Opportunities for growth in a dynamic entrepreneurial environment
Equal Opportunity Employer

At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.

Want to learn more about our privacy practices? Check out our privacy policy.

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