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Python Data Analyst Jobs in Florida (NOW HIRING)

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... SQL, Python, Tableau, Looker a plus. Skills & Competencies: * Strong systems thinking (understands ...

Job Position: Junior Data Analyst Job Location: REMOTE in these locations: Alabama, Arizona ... Coursework is acceptable. • Python for light scripting (pandas, requests). Production pipeline ...

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Business Data Analyst I

Jacksonville, FL · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Business Data Analyst I

Jacksonville, FL · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Risk Strategy Data Analyst The Strategic Risk Data Analyst will be responsible for conceptualizing ... Experience in at least one scripting language such as R or Python is a plus. * Experience with ...

Python experience preferred. * Microsoft Excel and Visual Studio experience preferred. * Excellent analytical and critical thinking skills. * Intermediate understanding of Tableau or other data ...

We're looking for a Data Analyst to join our Delivery Operations team with a focus on three high ... Basic coding experience (Python or similar) is a plus but not required > Why This Role, Why Now ...

We're looking for a Data Analyst to join our Delivery Operations team with a focus on three high ... Basic coding experience (Python or similar) is a plus but not required Why This Role, Why Now ...

We're looking for a Data Analyst to join our Delivery Operations team with a focus on three high ... Basic coding experience (Python or similar) is a plus but not required Why This Role, Why Now ...

Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ... Minimum of 3+ years of experience with advanced analytics in the engineering/transportation ...

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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 May 31, 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?

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.

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 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 May 2026, with employment types broken down into 4% As Needed, 74% Full Time, 12% Part Time, 4% Temporary, 4% Contract, and 2% Nights. Highlights an 57% Physical, 26% Hybrid, and 17% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.
Financial Data Analyst

Financial Data Analyst

Appodeal

Parkland, FL • On-site

Full-time

Posted 8 days ago


Job description

Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we're more than just a company-we're a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here's what we value, and what we hope you do too:
  • Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
  • Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
  • Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
  • Enjoying the Journey: We believe in having fun while working toward our goals.

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial data across systems. This role sits at the intersection of Finance, Data, and Systems, ensuring that financial metrics are accurate, scalable, and directly usable for decision-making.The role will build and maintain a finance data layer that acts as the single source of truth and powers AI-driven insights and dashboards, and dynamically produce reports that drive business decisions.
Key Responsibilities
Financial Data Integrity:
  • Ensure accuracy and consistency of financial data across:
    - ERP (e.g., NetSuite),
    - operational systems,
    - data warehouse / BI tools.
  • Reconcile partner reported revenue across SSPs, DSPs, and exchanges with internal reporting and analytics.
  • Identify and resolve discrepancies between systems (e.g., revenue, cost, payments).
  • Establish repeatable reconciliation frameworks (not ad hoc fixes).

Data Pipeline & Systems Ownership:
  • Partner with Data Engineering to:
    - define financial data requirements,
    - validate pipelines and transformations,
    - ensure correct data mapping and lineage.
  • Maintain and improve the financial system of record.
  • Translate accounting logic into data models and rules.

Metrics & Data Modeling:
  • Define and maintain key financial metrics (revenue, gross profit, margins, etc.).
  • Ensure alignment between:
    - dashboards,
    - internal reporting,
    - financial statements;
  • Build datasets that support:
    - executive reporting,
    - product and operational analysis.
  • Build dynamic, forecasting models that pull from historical data, update with new actuals, and support flexible scenario and assumption inputs.

Close & Reporting Support:
  • Support month-end close through:
    - data validation,
    reconciliation automation.
  • Reduce reliance on manual journal entries by improving upstream data quality.

Controls & Audit Readiness:
  • Implement data-level controls to prevent errors at the source.
  • Ensure financial data is:
    - auditable,
    - traceable from source to reporting.
  • Support audits with clear data documentation.

Cross-Functional Collaboration
  • Work closely with:
    - Accounting,
    - FP&A,
    - Data Engineering,
    - Product / Operations.
  • Act as a translator between finance requirements and technical implementation.

Qualifications
Required:
  • Bachelor's degree in Accounting, Finance, Data, or related field.
  • 2-5+ years experience in:
    - financial data analysis,
    - analytics engineering,
    - or accounting with strong data exposure.
  • Strong Excel skills.
  • Familiarity with ERP systems (NetSuite).
  • Experience working with large datasets and high-volume environments (AdTech, FinTech, Marketplaces).
  • SQL, Python, Tableau, Looker a plus.

Skills & Competencies:
  • Strong systems thinking (understands end-to-end data flows).
  • Ability to identify root causes of data discrepancies.
  • Detail-oriented with high standards for data accuracy.
  • Automation mindset (eliminate manual work).
  • Ability to communicate with both finance and engineering teams.

Why join Appodeal?
  • Be part of a mission-driven company that empowers mobile businesses worldwide.
  • Work with a talented international team that values creativity, ownership, and collaboration.
  • Grow your career in a fast-paced, innovative environment where your work makes a real impact.
  • Competitive compensation, flexible working arrangements, and opportunities for professional development.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us and help shape the future of mobile app success!