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

VC5 Consulting

Python Data Engineer

Houston, TX

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to ... Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and ...

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 ...

Cantor Fitzgerald Securities

Data Analyst

Houston, TX · On-site

Automate manual data workflows using Python or related tools. * Provide analytical support to internal teams, producing ad-hoc market analyses. * Develop relationships with LNG industry participants ...

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 ...

Par Pacific

Data Analyst

Houston, TX · On-site

Automate recurring reporting tasks and data workflows using Python. * Ensure data quality, consistency, and governance across all analytical outputs. * Present findings and recommendations to both ...

H-GAC

Data Analyst

Houston, TX

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

LivaNova

Data Analyst

Houston, TX · On-site

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

Houston Galveston Area Council

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

Panelmatic

Data Analyst

Houston, TX · On-site

Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. * Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

Panelmatic

Data Analyst

Houston, TX · On-site

Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. * Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

Panelmatic

Data Analyst

Houston, TX · On-site

Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. * Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

ExxonMobil

Data Analyst

Houston, TX · On-site

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate ... Design, develop, and institute automated workflows utilizing various technologies (SQL, Python ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Cypress, TX

Python Data Analyst information

See Cypress, TX salary details

$29.3K

$71.2K

$117.1K

How much do python data analyst jobs pay per year?

As of Jun 21, 2026, the average yearly pay for python data analyst in Cypress, TX is $71,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $83,600.00 per year, depending on experience, location, and employer.

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
What job categories do people searching Python Data Analyst jobs in Cypress, TX look for? The top searched job categories for Python Data Analyst jobs in Cypress, TX are:
What cities near Cypress, TX are hiring for Python Data Analyst jobs? Cities near Cypress, TX with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Cypress, TX as of June 2026, with employment types broken down into 3% As Needed, 38% Full Time, 47% Part Time, 1% Temporary, 10% Contract, and 1% Nights. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $71,183 per year, or $34.2 per hour.
Python Data Engineer

Python Data Engineer

VC5 Consulting

Houston, TX

Other

Posted 18 days ago

Job description

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to expand its data assets and directly elevate its analytical and trading capabilities. In this role, you will sit at the intersection of engineering and the business — working shoulder-to-shoulder with traders, researchers, analysts, and data scientists to define requirements and deliver production-grade data solutions. You will own the design and implementation of modular, reusable data ingestion pipelines, ensuring code quality and architectural consistency across a centralized codebase. This is a high-impact individual contributor role for an engineer who thrives in a fast-paced, collaborative environment and wants their work to have a measurable effect on real trading decisions.

Key Responsibilities:

  • Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and prioritize data requirements, translating complex business needs into functional, production-ready Python code.

  • Design, build, and maintain robust ETL and data ingestion pipelines using Python and Pandas, ensuring data accuracy, reliability, and performance at enterprise scale.

  • Write modular, reusable components for data interaction that conform to existing architecture patterns, coding conventions, and centralized codebase standards.

  • Coordinate efficiently with a globally distributed team of developers and business sponsors to deliver data solutions that span time zones and organizational boundaries.

  • Participate actively in the internal Python development community, acting as a technical liaison and working to standardize and consolidate core functionality within shared developer tooling.

  • Perform high-level technical troubleshooting across the data platform, diagnosing issues within a modular component architecture and driving them to resolution with minimal disruption to downstream consumers.

Requirements:

  • 6 to 15 years of professional, enterprise-level Python development experience — candidates must be able to demonstrate a strong tenure record at one or a small number of employers.

  • Deep, hands-on proficiency with the Pandas library for data manipulation, transformation, and pipeline development in a production environment.

  • Proven experience building and maintaining ETL and data ingestion pipelines at enterprise scale, with a track record of delivering clean, well-architected code.

  • Background in financial trading, commodities, oil and gas, or a large banking/financial services firm — this domain context is essential for working effectively alongside trading and research teams.

  • Demonstrated ability to gather technical requirements directly from non-engineering stakeholders such as traders, analysts, and researchers, and translate those needs into reliable technical solutions.

  • Strong collaborative instincts and the communication skills to work across global development teams, contributing to shared codebases and upholding engineering standards.

Role Details:

  • Employment Type: Direct Hire

  • Location: Houston, Texas 77098

If you are a Python Data Engineer with deep financial or energy trading domain experience and a passion for building data infrastructure that drives real business decisions, we encourage you to apply.


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