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Freelance Python Data Analysis Jobs in Austin, TX

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 ...

Emerson

Data Analytics Analyst

Austin, TX · On-site

... data analysis, and delivering clear recommendations aligned to business outcomes * Experience with database and programming tools such as Snowflake, dbt, and Qubole (Hive/Spark/Presto); Python and R ...

Central Health

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

Responsibilities * Collect and document business requirements for reporting and analysis ... Python scripting with an advanced level of expertise. * 3 years experience with MS Excel with an ...

IntraEdge

GCP Data Engineer

Austin, TX

$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 ...

Acrisure

Data Analyst, Data Intelligence

Austin, TX · On-site

Identify, adopt, and evangelize data analysis best practices and technical standards. * Advocate ... Experience with SQL, Python, PowerBI, Tableau, dbt, BigQuery, Git, Palantir and data modeling

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 ...

SynergisticIT

Python Developer - (Entry Level)

Austin, TX · On-site

$49.75 - $68.50/hr

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ... Python, Computer Vision, data visualization tools Preferred skills: NLP, Text mining, Tableau ...

CharterUP

Data Analyst

Austin, TX · On-site

$70K - $75K/yr

Perform data analysis to identify trends, patterns, and insights that will guide business strategy ... Proficiency in SQL, Python or equivalent * Proficiency in Excel/Google Sheets * Strong knowledge of ...

Dlapiper

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Self Financial

Staff Data Engineer

Austin, TX

$160K - $195K/yr

... project analysis, work break down and planning. * Creating Physical and Logical Data Models with large, complex data sets * Managing data pipeline, ETL/ELT processes using SQL and Python

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

As of Jun 25, 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, and why are they important?

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 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.
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Freelance Python Data Analysis jobs near you
Data Scientist

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Posted 8 days ago

Job description

Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote. 
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. 
Qualifications: 
  • Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R  along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

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