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Python Data Analysis Jobs in Houston, TX (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 ...

Jobtailor

Senior Solar Energy Analyst

Houston, TX · On-site

$110 - $160/hr

Strong statistical data-analysis skills, with proficiency in Excel, Python, or other data-analysis software. * Proficiency with Python data science packages (e.g., Pandas, NumPy), Jupyter notebooks ...

Microvast

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

... Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit-learn). • Hands-on ... analytical skills • Ability to communicate well with other members of the development team ...

MICROVAST INC

BMS Data Analysis Engineer

Houston, TX · On-site

BMS Data Analysis Engineer Are you ready to be part of a company that's not just talking about the ... Strong proficiency in Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit ...

AllRight Jobs Inc

Python Developer ARJ/118

Houston, TX · On-site

$90 - $95/hr

... analytics solutions using Python, Databricks, and statistical modeling techniques. - Special emphasis on Monte Carlo simulations and risk-focused data analysis. - Responsible for translating ...

Raas Infotek LLC

Senior Data Analyst

Texas City, TX · On-site

$73K - $92K/yr

The ideal candidate will have strong hands-on experience with SQL, Python, Excel, Power BI/Tableau, data modeling, ETL, and business requirements analysis . Responsibilities * Analyze large and ...

Arsenault Inc

Data Analyst

Houston, TX

Experience with Python and Python-based data analysis and manipulation packages Desired Skills and Abilities * BS/MS degree in Business, Operation Research, Economics, Statistics, or related fields

MDAEdge

Python Developer - Oil & Gas Sector

Houston, TX · On-site

$48 - $66/hr

... data analysis and interpret results for stakeholders. • Create data visualizations and dashboards to communicate insights. • Collaborate with data analytics leads and risk teams on requirements ...

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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How much do python data analysis jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for python data analysis in Houston, TX is $55.96, according to ZipRecruiter salary data. Most workers in this role earn between $46.11 and $63.56 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the most commonly searched types of Python Data Analysis jobs in Houston, TX?

The most popular types of Python Data Analysis jobs in Houston, TX are:

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For Python Data Analysis jobs in Houston, TX, the most frequently searched job titles are:

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Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

Python Data Engineer

Vitol

Houston, TX • On-site

Full-time

Re-posted 23 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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