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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

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.

Corework Staffing

Data Analyst

Austin, TX · On-site

Working knowledge of programming languages like Python or R for data analysis, automation, and statistical modeling * Experience handling and analyzing large, complex datasets, with an understanding ...

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 ...

ClifyX

Python GenAI Model Evaluator

Austin, TX · On-site

Required : • Strong understanding of LLMs, generative AI, and transformer-based architectures. • Experience with Python, data analysis, and model evaluation frameworks. • Familiarity with ...

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

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 ...

ClifyX

Python Automation lead

Austin, TX · On-site

... data scientists' analysts and product teams to translate requirements into technical solutions. • Optimize existing data workflows for performance and scalability Participate in code reviews ...

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 ...

SWBC

Data Analyst

Shavano Park, TX · On-site

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI tools to manage ... Proficiency in data‑specific coding languages (Python, SQL, Jinja, etc.) and ability to make ...

Panelmatic

Data Analyst

Houston, TX

Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. * Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

Panelmatic, Inc

Data Analyst

Houston, TX · On-site

Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. * Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

Iapetus Holdings LLC

Data Analyst

Dallas, TX

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 ...

SWBC

Data Analyst

San Antonio, TX · On-site

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 ...

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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.

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.

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.

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.
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For Python Data Analyst jobs in Texas, the most frequently searched job titles are:

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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, 2% Temporary, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Analyst

Austin, TX • On-site

Jobcertify
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Full-time

Re-posted 24 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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