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Python Data Analyst Jobs in Texas (NOW HIRING)

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong analytical and ...

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

New

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

New

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 ...

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... language (Python, R, or other). * Must be detail-oriented with excellent analytical and ...

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 ...

Data Analyst

Midland, TX · On-site

$61.60 - $70.84/hr

Job Title: Data Analyst Our Vision: RigUp is where the best workers power the world's most ... SQL, Databricks, Python * Visualization & Reporting: Power BI * Oil & Gas Systems: WellView

New

Core Tech: Advanced SQL is required; scripting knowledge in Python/Shell is highly preferred ... data owners and analysts. Collaboration & Strategy * Bridge the Gap: Partner directly with data ...

New

Data Analyst Location : Richardson, TX (Hybrid) Key Skills: * Must be proficient in using AI ... Proficiency in Python or R for analysis and automation is a plus. • Strong instincts for ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, Python, or similar). * Technical Skills: * Proficiency in SQL for database ...

New

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 ...

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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.

Full-time

Re-posted 18 days ago


Job description

Experience with enterprise data analytics, integration, and management, working with data warehouse and data governance technologies.
Experience building API for Integration of Informatica Data Governance tools with other tools.
Experience developing using informatica suite of tools- Axon, EDC, Informatica Data Quality on prem or hybrid setting.
Experience configuring and customizing EDC and Axon, including glossaries, dashboards and data quality and discovery features, and advanced scanners.
Scripting knowledge (Java, Python, Perl, PowerShell, Bash, SQL), including experience scripting automation of system tasks, schedules, and deployment activities.
Proficiency in reading data payloads in JSON and XML format.
Experience with Business Intelligence tools such as Tableau, Power BI, and Business Objects.
Informatica on premises or hybrid administration experience including installation, configuration, upgrades, patches.