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Python Data Analyst Jobs in Florida (NOW HIRING)

Senior Data Analyst

Tampa, FL · On-site

$90 - $150/hr

... Python, VBA or any other language)- Technical Knowledge, ability to read the code- Experience in ... analytical and communication skills- Proactive team player, stress resistant Nice to have ...

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 ...

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 ...

Senior Data Analyst

Boca Raton, FL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

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 ...

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 ...

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 ...

Senior Data Analyst

Boca Raton, FL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Thoroughly analyze data, quickly identify relevant information, and transform it into a meaningful ... or Python. * Three (3) or more years of experience in healthcare field dealing with claims ...

We are seeking an analytical growth architect to bridge the gap between market reality, advanced ... Advanced Python development for data manipulation and machine learning (NumPy, Pandas, SciPy ...

Our client is currently seeking a Data Analyst - IT - V Long-term Contract!W2 This job will have ... Python, SQL, Snowflake, Tableau, Dynatrace, and AWS By providing your phone number, you consent to ...

Senior Data Analyst

Tampa, FL · Hybrid

$104K - $130K/yr

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change!    At Philip Morris ... Prefer experience resource with Snowflake experience, Python and/or any scripting languages

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Advanced skills in SQL, Python and/or R * Familiarity in visualization tools such as Tableau ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and ... Developing custom data querying and manipulation capabilities using languages such as R, Python ...

Showing results 41-60

Python Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do python data analyst jobs pay per year?

As of Sep 1, 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

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 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:

Infographic showing various Python Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Senior Data Analyst

Luxoft

Tampa, FL • On-site

$90 - $150/hr

Other

Posted 27 days ago


Job description

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities
  • - Requirements elicitation, documenting and management.- Create rules based on gathered requirements using internally-built language (similar to KNIME)- Conduct insightful, ad hoc analysis to investigate possible production issues.- Maintaining project backlog- Participate in product increment acceptance testing and testing results analysis
SKILLSMust have
  • - 6+ years of requirements management / business analysis experience- SQL knowledge, be able to write complex SQL queries- Scripting experience (R, Python, VBA or any other language)- Technical Knowledge, ability to read the code- Experience in process analysis and documenting- Strong analytical and communication skills- Proactive team player, stress resistant
Nice to have
  • - Experience working with large-scale enterprise data platforms
  • - Knowledge of cloud environments and modern data platform architectures
  • - Understanding of CI/CD practices and automated deployment pipelines
  • - Experience working in Agile / Scrum teams within a distributed global setup
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