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

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

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Python Developer Location: Houston, TX (Hybrid) Duration: 6 Month Contract Quick summary ... The Data Analytics team within the Trading & Shipping, Trading Analytics & Insights organization ...

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

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 ...

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 ...

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... Analytics department. The Lead Data Engineer will work closely with business domain experts to ... Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for python data analysis in Cypress, TX is $50.49, according to ZipRecruiter salary data. Most workers in this role earn between $41.63 and $57.36 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 popular job titles related to Python Data Analysis jobs in Cypress, TX?

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

What job categories do people searching Python Data Analysis jobs in Cypress, TX look for?

The top searched job categories for Python Data Analysis jobs in Cypress, TX are:

What cities near Cypress, TX are hiring for Python Data Analysis jobs?

Cities near Cypress, TX with the most Python Data Analysis job openings:

Infographic showing various Python Data Analysis job openings in Cypress, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $105,028 per year, or $50.5 per hour.

Analyst, Senior Data Engineering

Enterprise Products Partners L.P.

Houston, TX • On-site

$82K - $103K/yr

Full-time

Re-posted 4 days ago


Enterprise Products rating

9.2

Company rating: 9.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

1st of 53 rated energy and utility


Job description

Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership’s assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.

We are currently seeking an experienced Python Software Engineer to join the Big Data and Advanced Analytics department.  The Python Software Engineer will work closely with Data Engineers and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics and machine learning.

  • Work directly with subject matter experts to develop high quality, reliable, scalable, software products.
  • Design and implement frameworks and tools to streamline the machine learning process.
  • Implement data manipulation and transformation logic to support various use cases.
  • Leverage software architecture and design patterns to develop fault tolerant microservices.
  • Document code and architectural decisions to support maintainability.
  • Implement processes to ensure coding standards, code quality, documentation, and test coverage.

The successful candidate will meet the following qualifications:

  • 5 years of programming experience in Python.
  • Expertise in developing and maintaining data pipelines.
  • Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control.
  • Expertise in Object-Oriented Design Principals and Functional Programming Principals.
  • Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing distributed computing systems.
  • Knowledgeable of DevOps Principles.
  • Experience in designing modular, reusable software components. 
  • Experience in developing API endpoints and microservices..

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