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Weekend Python Data Analyst Jobs in Florida (NOW HIRING)

Appodeal

Financial Data Analyst

Parkland, FL · On-site

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 ...

Catch Health

Junior Data Analyst

Fort Lauderdale, FL · On-site

$55K - $65K/yr

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

New

DPDHL

Business Data Analyst I

Jacksonville, FL

$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 ...

DHL

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 ...

Paysafe

Risk Strategy Data Analyst

Jacksonville, FL · On-site

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 ...

Atlas Air

Data Analyst, AQP

Miami, FL · On-site

The Data Analyst position will maintain and analyze Advanced Qualification Program (AQP) data in ... Must be flexible and able to work various hours and weekends Skills: * Exceptional communication ...

WELLDYNE

Data Analyst II - Revenue Cycle

Lakeland, FL · On-site

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

Atlas Air

Data Analyst, AQP

Miami, FL

The Data Analyst position will maintain and analyze Advanced Qualification Program (AQP) data in ... Must be flexible and able to work various hours and weekends Skills: * Exceptional communication ...

Gopuff

Data Analyst, Delivery Operations

Aventura, FL · On-site

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 ...

Gopuff

Data Analyst, Delivery Operations

Aventura, FL · Hybrid

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 ...

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Weekend Python Data Analyst information

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

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:
Weekend Python Data Analyst jobs near you
Financial Data Analyst

Financial Data Analyst

Appodeal

Parkland, FL • On-site

Full-time

Posted 7 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!

Apply