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Python Data Analyst Jobs in Texas (NOW HIRING)

Insolation Technology Ltd

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 ...

Jobcertify

Data Analyst

El Paso, TX · On-site

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.

Jobcertify

Data Analyst

Austin, TX · On-site

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.

Alliance Credit Union

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 ...

H-GAC

Data Analyst

Houston, TX

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 ...

Hawk Group

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

Cambium Learning Group

Data Analyst

Dallas, TX · On-site +1

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 ...

Monks

Data Analyst

Austin, TX · Hybrid

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 ...

Inficare Technologies

Data Analyst

Richardson, TX · On-site

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 ...

Orionyx Enginnering

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 ...

Buxton

Data Analyst

Fort Worth, TX · On-site

If you eat, sleep, and breathe data, our data analytics position may be for you. At audiense, we're ... Experience working with python or R * Proficiency in Excel, Word, and PowerPoint * Time management ...

TXU Energy

Lead Data Analyst

Irving, TX · Hybrid

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 ...

Vistra Corp

Lead Data Analyst

Irving, TX · On-site

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.
More about Python Data Analyst jobs
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 are popular job titles related to Python Data Analyst jobs in Texas? For Python Data Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Texas look for? The top searched job categories for 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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Texas as of July 2026, with employment types broken down into 69% Full Time, 2% Part Time, and 29% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Data Analyst

Insolation Technology Ltd

Houston, TX • On-site, Remote

$21 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

We are seeking a motivated and detail-oriented Data Analyst to join our team at Insolation Technology LTD,
an established engineering consulting firm. The Data Analyst will be
responsible for collecting, processing, and analyzing data to support
project decisions, improve operational efficiency, and provide insights
that drive strategic planning. The ideal candidate will have a strong
analytical background, proficiency in data analysis tools, and excellent
communication skills.

Note: This position is strictly open to candidates within the United States.

Key Responsibilities:

  • Data Collection and Management: Gather, clean, and maintain datasets from various sources, ensuring data integrity and accuracy.
  • Data Analysis:
    Analyze large datasets to identify trends, patterns, and insights that
    support project management, operational efficiency, and strategic
    initiatives.
  • Reporting and Visualization:
    Create comprehensive reports and dashboards using data visualization
    tools (e.g., Tableau, Power BI) to present findings to stakeholders.
  • Collaboration:
    Work closely with engineering teams, project managers, and other
    departments to understand their data needs and provide actionable
    insights.
  • Performance Metrics: Develop and track key performance indicators (KPIs) to measure project performance and operational efficiency.
  • Statistical Modeling: Apply statistical methods and predictive modeling techniques to analyze data and forecast future trends.
  • Continuous Improvement:
    Identify opportunities for process improvements and optimization based
    on data analysis and provide recommendations to management.
  • Documentation: Maintain detailed documentation of data sources, methodologies, and analytical processes for future reference.

Qualifications:

  • Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Proven experience as a Data Analyst, preferably in an engineering consulting or similar environment.
  • 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 problem-solving skills, with a keen attention to detail.
  • Excellent
    communication skills, both verbal and written, with the ability to
    present complex information clearly to non-technical stakeholders.
  • Familiarity with engineering concepts or terminology is a plus.

Preferred Qualifications:

  • Experience with statistical analysis and modeling techniques.
  • Knowledge of machine learning algorithms and data mining techniques.
  • Familiarity with project management methodologies and tools.
  • Experience working in a team-oriented, collaborative environment.

Benefits:

  • Competitive salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance
  • Retirement savings plan with company match
  • Professional development opportunities
  • Flexible work schedule and remote work options

Job Type:

  • Full time

Pay:

  • $21.00 - $26.00 per hour

Expected hours:

  • 40 hours per week

Benefits:

  • 401(k)
  • Dental insurance
  • Health Insurance
  • Life Insurance
  • Paid time off

Schedule:

  • Monday to Friday

Work location:

  • Remote

Insolation Technology LTD is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive
environment for all employees.

Apply