1

Commission Python Data Analyst Jobs in Lubbock, TX

Senior Data Analyst

Lubbock, TX · On-site

$60K - $80K/yr

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 ...

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 ...

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 ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

Biostatistician

Lubbock, TX · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

next page

Showing results 1-20

Commission Python Data Analyst information

See Lubbock, TX salary details

$29.2K

$71K

$116.8K

How much do commission python data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for commission python data analyst in Lubbock, TX is $70,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $83,300.00 per year, depending on experience, location, and employer.

What is a Commission Python Data Analyst?

A Commission Python Data Analyst is a data professional who specializes in analyzing and interpreting data using the Python programming language, often working on a commission or contract basis. They use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data, helping organizations make data-driven decisions. Their responsibilities may include creating reports, building predictive models, and automating data workflows. These analysts typically work across various industries and are valued for their ability to deliver insights quickly and efficiently.

How does a Commission Python Data Analyst typically collaborate with sales or business teams to drive data-driven decision-making?

As a Commission Python Data Analyst, you will frequently work alongside sales or business development teams to analyze sales performance, identify trends, and develop actionable insights that can boost revenue. You’ll often be tasked with translating raw data into clear, concise reports or interactive dashboards tailored to non-technical stakeholders. Close collaboration is essential; expect to attend regular meetings, discuss data requirements, and provide ongoing support to help teams set and achieve their targets. Your ability to communicate complex findings in an accessible way directly impacts the business’s strategic decisions and your own commission potential.

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

To thrive as a Commission Python Data Analyst, you need strong analytical skills, expertise in Python programming, and a solid understanding of statistics and data modeling, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (such as pandas and NumPy), visualization tools (like Matplotlib or Seaborn), and familiarity with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and present findings to stakeholders. These skills and qualities are essential for accurately analyzing commission-based data, driving informed decisions, and supporting business goals.

What are the most commonly searched types of Python Data Analyst jobs in Lubbock, TX?

The most popular types of Python Data Analyst jobs in Lubbock, TX are:

What cities near Lubbock, TX are hiring for Commission Python Data Analyst jobs?

Cities near Lubbock, TX with the most Commission Python Data Analyst job openings:

Senior Data Analyst

Alliance Credit Union

Lubbock, TX • On-site

$60K - $80K/yr

Full-time

Re-posted 7 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.