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Python Data Analyst Jobs in Texas (NOW HIRING)

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 ...

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 ...

Skillify Solutions

Python/R Analyst

Richmond, TX · On-site

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in Python, R, data analysis, statistical modeling, and data visualization. The ideal candidate will ...

Arsenault Inc

Data Analyst

Houston, TX

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 ...

Judge Group, Inc.

Data Analyst

Arlington, TX · On-site

$65 - $75/hr

The ideal candidate will have expertise in Python, AWS, SQL, data integration, and modern analytics platforms. Key Responsibilities * Develop, maintain, and optimize end-to-end data processing and ...

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 ...

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 ...

BravoTech

Data Analyst

Dallas, TX · On-site

Use SQL, Python, Excel/VBA , and other analytical tools to manipulate, validate, transform, and analyze data. * Develop automated reports, dashboards, and visualizations using tools such as Tableau

Jobtailor

Data Analyst

San Antonio, TX · On-site

The Data Analyst is responsible for creating & providing correct, accurate & complete data ... Knowledge of DAX, T-SQL, C#, D3, R or Python or any other statistical programming language for ...

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 ...

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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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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.

Python Data Engineer

Houston, TX • On-site

Vitol
See more jobs at Vitolexternal

Full-time

Re-posted 8 days ago

Job description

Company Description

Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.

Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.

Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.

This Role is located in Houston, TX - In office 5x a week

Job Description

We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs.
What you will do:

  • 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
  • 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 understating 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)
  • Commodities/Energy Industry experience desired
  • Familiarity with containerization solutions like Docker and Kubernetes is a plus

This Role is located in Houston, TX - In office 5x a week

Additional Information

Work Environment

  • This job operates in a professional office environment.  Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office. 

All your information will be kept confidential according to EEO guidelines.

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