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Freelance Python Data Analysis Jobs in Lubbock, TX

Alliance Credit Union

Senior Data Analyst

Lubbock, TX · On-site

$60K - $80K/yr

... Python to perform advanced analysis, validate data integrity, and develop reports and dashboards that help uncover trends, measure performance, identify opportunities, and support strategic ...

Varsity Tutors

Data Science Tutor

Lubbock, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Business Analytics Tutor

Lubbock, TX · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Varsity Tutors

Machine Learning Tutor

Lubbock, TX · Remote

$18 - $40/hr

... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

McGough Construction

VDC Project Manager

Lubbock, TX · On-site

Programming experience using Dynamo, Python, or similar scripting languages. Skills: * Experience ... Strong analytical, mathematical, problem-solving, and communication skills. Office and Travel:

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Freelance Python Data Analysis information

See Lubbock, TX salary details

$11

$50

$74

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 Lubbock, TX is $50.34, according to ZipRecruiter salary data. Most workers in this role earn between $41.49 and $57.16 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.
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Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Lubbock, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,708 per year, or $50.3 per hour.

Senior Data Analyst

Alliance Credit Union

Lubbock, TX • On-site

$60K - $80K/yr

Full-time

Re-posted 19 days ago

Job description

ALLIANCE is building a Data and Development Department to strengthen how data is used across the organization and to support informed, data-driven decision making. The Senior Data Analyst plays a critical role in advancing these efforts by transforming complex data into clear, accurate, and actionable insights that support business and operational teams.

Working closely with a cross-functional data team that includes data engineers, software engineers, DevOps, and analysts, this role independently leads the exploration, preparation, and analysis of data across multiple systems and datasets. The Senior Data Analyst leverages SQL and Python to perform advanced analysis, validate data integrity, and develop reports and dashboards that help uncover trends, measure performance, identify opportunities, and support strategic initiatives.

This role focuses on delivering sophisticated analytical solutions, strengthening enterprise reporting capabilities, and expanding the organization’s use of trusted data. The Senior Data Analyst serves as a subject matter expert and trusted advisor to stakeholders while providing guidance and mentorship to junior analysts, helping ensure that data is accessible, well-understood, and effectively used to drive better outcomes for the credit union and its members.

Role

To use advanced SQL and Python to query, analyze, and validate data from multiple databases, datasets, and data sources, including APIs, transform that information into meaningful insights, and deliver advanced reports, dashboards, and data tables that enable business partners and members of the data team to make informed decisions while serving as a technical resource and mentor to other analysts.