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Python Data Analysis Jobs in Houston, TX (NOW HIRING)

Python Data Engineer Introduction We are looking for a talented and motivated Python Data Engineer ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

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 : โ€ข ...

... 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 ...

... 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 ...

BMS Data Analysis Engineer

Houston, TX ยท On-site

$109K - $131K/yr

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

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 ...

Python Developer ARJ/118

Houston, TX ยท 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 ...

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

Data Analyst

Houston, TX ยท 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 ...

Proficiency with Python for data analysis and workflow automation required * A proven ability to use data, analytics, and business knowledge to solve business problems, including: * Translating ...

... Python, incorporating time-series and spatial analysis techniques to support scenario planning ... Collect, clean, and validate demographic, economic, and geographic data from public and private ...

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 ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Jul 12, 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 job?

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 key skills and qualifications needed to thrive in the Python Data Analysis position, 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 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 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:
What are popular job titles related to Python Data Analysis jobs in Houston, TX? For Python Data Analysis jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Houston, TX look for? The top searched job categories for Python Data Analysis jobs in Houston, TX are:
What cities near Houston, TX are hiring for Python Data Analysis jobs? Cities near Houston, TX with the most Python Data Analysis job openings:

Python Data Engineer

TalentOS AI LLC

Houston, TX โ€ข On-site

Other

Posted 4 days ago


Job description

Python Data Engineer

Introduction

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.

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 Vitolโ€™s Python development community and act as a liaison for our growing business development efforts

Requirements

  • 9+ 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)
  • Commodities/Energy Industry experience desired
  • Familiarity with containerization solutions like Docker and Kubernetes is a plus

Required Skills

Python, Data Engineering, Data Pipelines, Web Scraping, Oracle, PL SQL, Object-Oriented Design, Agile/Scrum, Peer-Reviewing, Code Versioning, Pandas, NumPy, Communication Skills, Commodities/Energy Industry, Docker, Kubernetes

Preferred Skills

Experience with containerization solutions like Docker and Kubernetes is a plus