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Python Data Analyst Jobs in Texas (NOW HIRING)

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.

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.

Quarterhill

Data Analyst - Contract

Frisco, TX · On-site

Perform analysis in Excel and Python to identify trends, patterns, and actionable insights ... Collaborate with the Data Analyst team on recurring reporting and ad-hoc requests. * Document ...

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 ...

Drive your success.

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 ...

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

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 ...

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 ...

Meds

Entry Level Data Analyst

Austin, TX · On-site

SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt ... Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation ...

Recruit Monitor

Data Analyst

Houston, TX · On-site

Partner with Engineering, Data Science, and other teams to identify and use the data needed to ... Proficiency in either SQL, Python, or R conducting complex analyses on large datasets * Working ...

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 ...

Meds

Entry Level Data Analyst

Austin, TX · On-site

SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt ... Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation ...

Meds

Entry Level Data Analyst

Austin, TX

SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt ... Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation ...

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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.

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 good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
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 August 2026, with employment types broken down into 70% Full Time, 2% Part Time, and 28% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Data Analyst

Jobcertify

Austin, TX • On-site

Full-time

Posted 25 days ago

Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

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