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Python Data Analyst Jobs in Florida (NOW HIRING)

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Data Analyst who is ready to work on QE side with Java/Python * Data Engineers - Who is ready to do QE role with Java/Python * SQL query writing & programming (Java/Python) * Java/Python plays a role ...

Data Analyst

Orlando, FL · On-site

$70 - $100/hr

Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable. 2. Professional Experience:

Data Analyst

Fort Walton Beach, FL · On-site

$58 - $138/hr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and ...

Expert-level proficiency in SQL, Python, Power BI, VBA, and Alteryx is essential, as these tools are foundational to driving advanced analytics, automation, and scalable data solutions across the ...

Data analysts will work with government customers across the globe to determine their current ... Work with engineering teams to design algorithms and data manipulation capabilities using R, Python ...

... SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools • Effective skill with analytical techniques required for data usage and data cleaning • Skill ...

Data analysts will work with government customers across the globe to determine their current ... Work with engineering teams to design algorithms and data manipulation capabilities using R, Python ...

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 ...

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 ...

Data Analyst

Jacksonville, FL · Remote

$36 - $59/hr

Competence in data analysis software and coding languages including SQL, Python, R, or advanced Excel. * Strong capability in data visualization using platforms such as Tableau, Power BI, or ...

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 ...

Senior 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 ...

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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.

Data QE

Hirekeyz Inc

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Re-posted 7 days ago


Job description

Title: Data QE
 
Job Type: Full Time
 
Location: Tampa, FL
 
 

Job Description:

  • Overall Experience required minimum 8+ Years
  • Candidate should be able to carry out the job below and have 3+ years of experience in below technical skills.

Technical skills - 1. ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile methodologies

  • Design and Develop Automated Data Quality Tests:
    • Create and maintain automated test scripts and frameworks for data quality validation using tools like Python, SQL, and data quality testing frameworks. 
    • Develop data profiling and validation rules to identify data anomalies and inconsistencies.
    • Build and maintain test data sets for various testing scenarios.
  • Implement Data Quality Monitoring and Alerting:
    • Integrate automated data quality tests into CI/CD pipelines for continuous testing.
    • Set up data quality monitoring dashboards and alerts to proactively identify data issues.
    • Develop and maintain data quality reports and metrics.
  • Collaborate and Improve Data Quality Processes:
    • Work closely with data engineers and product owners to understand data pipelines and requirements.
    • Participate in code reviews and contribute to the development of data quality best practices.
    • Identify and recommend improvements to data quality processes and tools.
    • Investigate and resolve data quality issues, working with relevant teams to implement corrective actions.
  • Data Governance and Compliance:
    • Ensure data quality testing aligns with data governance policies and regulatory requirements.
    • Contribute to the development and maintenance of data quality documentation.

Options (Either of the below 3 should ideally work)

  1. ETL Testers with Prog lang (Java/Python)
  2. Data Analyst who is ready to work on QE side with Java/Python
  3. Data Engineers – Who is ready to do QE role with Java/Python
  4. SQL query writing & programming (Java/Python)
  5. Java/Python plays a role towards Automation routines. Not really a developer level knowledge.

Criteria to source resumes

  1. Candidate should be with any Computer science background
  2. Should have experience working with similar set-up as Mphasis. It should be a reputed organization (Tier 1- Tier-2 companies)
  3. Should have consistency in their career. We will not encourage job hoppers as we are looking to hire them for long-term here
  4. Need at least 3-4 lines of summary with their skill & career details (employment history) & how they elevated from scratch to now
  5. Focus candidates with at least 3-5+ years of experience in the above-mentioned skills.