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Python Data Analyst Jobs in Texas (NOW HIRING)

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Knowledge of programming languages such as Python or R for advanced data analysis. * Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Knowledge of programming languages such as Python or R for advanced data analysis. * Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance ...

Knowledge of programming languages such as Python or R for advanced data analysis. * Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

... Python. • Identifying areas for improvement in data collection and analysis processes and recommending solutions to improve efficiency and accuracy. • Preparing reports and presentations to ...

Proficiency in data analysis tools and techniques, including advanced SQL, Power BI, Python, KNIME or similar tools preferred. * Ability to work with large, complex datasets from multiple sources and ...

Automate and streamline recurring data analysis and reporting workflows using SQL, Python, and other programming tools to improve efficiency and reduce manual effort. * Collaborate with leadership to ...

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI, Databricks. Experience with AI tools (e.g. Copilot, Claude, ChatGPT, Gemini) to conduct analysis a plus * Collaboration: Strong ...

Data Analyst Location: US-Remote About the role The Insights & Analytics team at LTK is a core ... Experience with Python, R, or similar tools for analysis or automation is a plus, but not required.

We are seeking a data visualization expert with a passion for transforming complex data into clear ... Experience in Python and advanced analytics * Demonstrated experience building executive-ready ...

Data Analyst LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

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Python Data Analyst information

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
What are the most commonly searched types of Python Data Analyst jobs in Texas? The most popular types of Python Data Analyst jobs in Texas are:
What cities in Texas are hiring for Python Data Analyst jobs? Cities in Texas with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

$60K - $75K/yr

Full-time

Re-posted 5 days ago


Job description

The Houston-Galveston Area Council is one of the largest regional planning commissions in the country with a diverse service area of 13 counties and more than7million people. We are the pulse of our region addressing issues that cross city limits and county lines every single day.
We make decisions that affect our transportation system, ensure the safety and well-being of our seniors, connect people to jobs, help families recover from natural disasters, preserve water quality for our children, and so much more. We work to make the region a great place to live, work, and thrive.
Job Duties:
  • Support regional planning efforts through advanced land use modeling, data analysis, and forecasting.
  • Apply strong analytical and programming skills to evaluate demographic, economic, and geographic trends that inform long-term planning in transportation, land use, environmental sustainability, and economic development.
  • Apply advanced knowledge in economics, statistics, and data science to develop forecasting models and simulations that guide policy and project development.
  • Manage and analyze large datasets, build scenario-based models, and communicate findings through technical reports and visualizations, demonstrating excellent written and verbal communication skills.
  • Develop and maintain land use forecasting models using SAS and Python, incorporating time-series and spatial analysis techniques to support scenario planning.
  • Conduct simulations to evaluate future land use patterns based on socioeconomic trends and policy drivers.
  • Collect, clean, and validate demographic, economic, and geographic data from public and private sources.
  • Ensure transparency and reproducibility by maintaining data dictionaries and process documentation.
  • Perform quality assurance checks to ensure accuracy of datasets and models, produce technical outputs such as reports and dashboards, and support internal and external stakeholders in interpreting model results.
  • Respond to data requests related to population, employment, and land use from local governments, research institutions, consultants, and the public, and serve as the primary contact for external data inquiries.
  • Present technical concepts clearly to non-technical audience.

Key Qualifications
Do you have...
  • Minimum Education Requirement: Bachelor's degree in Urban Planning, Economics, Mathematics, Statistics, Data Science, or a related field.
  • Minimum Experience Requirement: 36 months of experience developing forecasting models, conducting statistical and spatial analysis, and managing complex datasets, including experience applying proficiency in SAS, and experience in land use modeling, simulation, or scenario analysis.

All employees of H-GAC are required to reside within the agency's region of service to support our commitment to excellence in service of our region.
H-GAC is an equal opportunity/ADA employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, or protected veteran status.