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Python Data Analyst Jobs in Texas (NOW HIRING)

Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Vitol

Python Data Engineer

Houston, TX

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Solomon Page

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Develop Python-based analytical solutions for data processing and automation. * Evaluate data quality and identify opportunities to improve reporting accuracy and consistency. * Create methodologies ...

Arsenault Inc

Data Analyst

Houston, TX · On-site

Main Purpose of Job The Data Analysts role will be to partner with stakeholders across the ... Python, R/Shiny, Tableau, Power BI * Experience with SQL and other modern data storage technologies

Foxconn Assembly LLC

Data Analyst

Houston, TX · On-site

The data analyst will analyze, design, create, maintain, update, manage and present Tableau ... Responsibilities: * 10%, Analyze datasets using SQL, Cicada and Python. * 60%, Design, create ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis ...

ResolveSoft Inc

Be Seen First

Data Analyst

Dallas, TX · On-site

$65K - $84K/yr

Data Analyst Location: Onsite, Dallas, TX Position Summary The Data Analyst supports the Client ... Excel, Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data ...

Leidos

Data Analyst

Fort Worth, TX · On-site

$92K - $166K/yr

Develop Python-based data analysis workflows for data exploration, modeling, and reporting. * Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis.

Leidos

Data Analyst

Fort Worth, TX · Hybrid

$92K - $166K/yr

Develop Python-based data analysis workflows for data exploration, modeling, and reporting. * Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis.

Incedo

Data Analyst

Austin, TX · On-site

You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Required : • 0-3 years of experience in a data, analytics, or operations role • Hands-on experience with Python, including writing scripts for data processing or automation • Working knowledge ...

Prophecy Technologies

Data Analyst

Austin, TX · On-site

... complex analytics data sources 10 Required Experience explaining technical findings and data ... Python. 1 Preferred Experience applying responsible AI practices and compliance with agency ...

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 ...

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 ...

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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.

Python Data Engineer

Vitol

Houston, TX • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Vitol is a leader in energy and commodities, providing services globally. They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists.
Responsibilities:
• Write modular, reusable components to liaise between external sources of data, internal tools and databases
• Work with our business sponsors to drive out requirements for data ingestion and access
• Translate business requirements into technical deliveries
• Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
• Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
• Efficiently coordinate with the rest of our global team
• Participate in Vitol’s Python development community and act as a liaison for our growing business development efforts
Qualifications:
Required:
• 7+ years of enterprise-level coding experience with Python
• Computer Science, MIS or related degree
• Experience with Data Engineering and building data pipelines
• Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
• Oracle / PL SQL development experience including stored procedures
• Strong understanding of object-oriented design, design patterns, SOA architectures
• Past experience working in an Agile/Scrum environment
• Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools.
• Familiarity with Pandas and NumPy packages
• Strong communication skills (written and verbal)
Preferred:
• Commodities/Energy Industry experience desired
• Familiarity with containerization solutions like Docker and Kubernetes is a plus
Company:
The Vitol Group is an energy and commodity trading company involved in exploration, production, refining, terminals, trading, marketing. Founded in 1966, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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