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Freelance Python Data Analysis Jobs in Austin, TX

Safelease Inc

Data Analyst

Austin, TX · Hybrid

Python for data analysis (pandas, notebooks, scripting) * Exposure to data modeling patterns -- star schema, slowly changing dimensions, wide tables -- and when to use which * Experience working in a ...

Meds

Entry Level Data Analyst

Austin, TX · On-site

Proficiency in Python (Pandas, NumPy) or R for statistical analysis and automation is standard. * Data Visualization: Experience with Tableau, Looker (LookML), or Power BI to create dashboards that ...

Meds

Entry Level Data Analyst

Austin, TX

Proficiency in Python (Pandas, NumPy) or R for statistical analysis and automation is standard. * Data Visualization: Experience with Tableau, Looker (LookML), or Power BI to create dashboards that ...

Meds

Entry Level Data Analyst

Austin, TX · On-site

Proficiency in Python (Pandas, NumPy) or R for statistical analysis and automation is standard. * Data Visualization: Experience with Tableau, Looker (LookML), or Power BI to create dashboards that ...

MedReview

Data Scientist

Austin, TX · On-site

As a part of our team, you will leverage your analytical skills and expertise in machine learning ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

MedReview

Data Scientist

Austin, TX · On-site

As a part of our team, you will leverage your analytical skills and expertise in machine learning ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

AgileEngine

Senior Data Engineer ID75059

Austin, TX · On-site

$105K - $142K/yr

... Python experience is a must); - 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas , Polars , PySpark or DuckDB ; - 2+ years of experience with Big Data ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Python, and SQL will be crucial in developing effective data solution that support our fraud data analytics and reporting efforts. * 8+ years of hands-on experience with data management in gathering ...

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Freelance Python Data Analysis information

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How much do freelance python data analysis jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for freelance python data analysis in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Austin, TX? The most popular types of Python Data Analysis jobs in Austin, TX are:
What are popular job titles related to Freelance Python Data Analysis jobs in Austin, TX? For Freelance Python Data Analysis jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Austin, TX look for? The top searched job categories for Freelance Python Data Analysis jobs in Austin, TX are:
What cities near Austin, TX are hiring for Freelance Python Data Analysis jobs? Cities near Austin, TX with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Austin, TX as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.

Legal Data Analyst, Applied Data Science

Apple

Austin, TX • On-site

Full-time

Re-posted 6 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Are you passionate about turning complex legal data into actionable insights - and leveraging AI to do it faster and smarter?
Do you thrive on uncovering patterns, trends, and anomalies that others miss - using both traditional analytics and AI-powered techniques?
Can you bridge the gap between raw data, AI capabilities, and strategic decision-making?
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence.
Description
The Legal Data Analyst delivers analytical insights and ensures data readiness for AI and analytics across Legal Operations. You will leverage AI tools to accelerate your work, using AI for data profiling, anomaly detection, pattern recognition, and insight generation. You will analyze legal operations data to uncover trends, perform spend and matter analysis, build forecasting models, and prepare data for AI consumption. This role combines analytical rigor with AI fluency and deep understanding of legal operations to drive data-informed decisions.
Minimum Qualifications
4+ years of experience in data analysis, business intelligence, and analytics roles
Strong proficiency in SQL, Python, and experience with analytical and data profiling tools
Experience using AI and LLM-based tools to accelerate analytical work
Experience with statistical analysis, trend analysis, and forecasting techniques
Experience working with enterprise data systems (ERP, CRM, matter management, or similar)
Strong analytical and problem-solving skills with attention to detail
Ability to communicate analytical findings and data quality insights to technical and non-technical stakeholders
Experience building in and presenting with BI and visualization tools (Tableau, Power BI, or similar)
Deriving and defining KPIs and other business impact metrics for leadership
Preferred Qualifications
Experience with legal operations data (matter management, eBilling, CLM, document management)
Demonstrated ability to integrate AI tools into daily analytical workflows - not just experimentation, but production use
Understanding of prompt engineering techniques to get better results from AI tools
Understanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel metrics
Experience with predictive analytics and forecasting models
Familiarity with data governance frameworks and data stewardship models
Experience with data quality tools (Great Expectations, Monte Carlo, or similar)
Knowledge of entity resolution concepts and master data management
Understanding of how data quality impacts AI/ML model performance
Experience in corporate legal department or professional services environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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