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Python Data Analyst Jobs in Texas (NOW HIRING)

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 ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Experience with Python, data analysis, and model evaluation frameworks. * Familiarity with prompt engineering, embeddings, RLHF/RLAIF, and LLM-based scoring methods. * Experience building evaluation ...

Data Analyst

Austin, TX · Hybrid

$70K - $75K/yr

Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting Location: Austin ... Proficiency in SQL, Python or equivalent * Proficiency in Excel/Google Sheets * Strong knowledge of ...

Python/Machine Learning Developer

Dallas, TX · On-site

$50 - $68.75/hr

Python - Data Manipulation & Analysis: Advanced Additional Skills Requested for Role * Data Center Storage Engineer Intermediate (3-5 years experience) * Python AI Intermediate (3-5 years experience)

Data Analysis & Solution Development * Analyze Loopbacks large-scale healthcare data warehouse ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

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 ...

Senior Data Analyst

Lubbock, TX · On-site

$60K - $80K/yr

The Senior Data Analyst leverages SQL and Python to perform advanced analysis, validate data integrity, and develop reports and dashboards that help uncover trends, measure performance, identify ...

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... language (Python, R, or other). * Must be detail-oriented with excellent analytical and ...

Python, SQL, PowerBI, Tableau, etc.) in a commercial capacity * Experience working with extremely ... Implementing and designing data curation, and data analysis frameworks * Experience working across ...

Data Analyst Location : Richardson, TX (Hybrid) Key Skills: * Must be proficient in using AI ... Proficiency in Python or R for analysis and automation is a plus. • Strong instincts for ...

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 ...

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Familiarity with additional data analysis tools and programming languages such as Python or R is highly desirable. * Understanding of data modeling concepts and ETL processes is a plus. * Experience ...

Python, SQL, PowerBI, Tableau, etc.) in a commercial capacity * Experience working with extremely ... Implementing and designing data curation, and data analysis frameworks * Experience working across ...

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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.

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.
What are the most commonly searched types of Python Data Analyst jobs in Texas? The most popular types of Python Data Analyst jobs in Texas are:
What are popular job titles related to Python Data Analyst jobs in Texas? For Python Data Analyst jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Python Data Analyst jobs? Cities in Texas with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Texas as of June 2026, with employment types broken down into 2% Internship, 72% Full Time, 6% Part Time, 17% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst

Data Analyst

Par Pacific

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Par Pacific rating

8.0

Company rating: 8.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

20th of 74 rated oil and gas companies


Job description

Data Analyst
Posting Start Date: 4/16/26
Job Location (Short): Houston, TX, USA, 77024
Data Analyst
The Opportunity
  • Data Analyst at a growth-oriented energy company
  • Leverage modern cloud and AI tools to drive data-driven decisions across Supply Trading, Refining, Logistics, Retail, and Finance operations on Google Cloud Platform.
  • Design and implement scalable data models and analytics solutions that deliver actionable insights across the enterprise.
  • Reporting to the Director, Enterprise Data and Applications, you will be responsible for building, maintaining, and governing analytical data solutions that serve operational, commercial, and financial teams across Par Pacific.

Key activities include:
  • Build and maintain data pipelines and analytical models on Google Cloud Platform (GCP), utilizing tools such as BigQuery, DataFusion, DataStream, and Cloud Storage.
  • Utilize data mining techniques and develop data models (dimensional, relational, or semantic) to support scalable and reusable analytics across business domains.
  • Support data integration and analytics from different ERP's (SAP BW/4HANA preferred), ensuring alignment between enterprise data and cloud-based analytical environments.
  • Partner with business leads to fulfill analytic and reporting requests as the domain data resource reference; assist in creating and supporting a self-service style analytics platform among stakeholders.
  • Develop standard or custom reports, queries, or dashboards that access and consolidate information from a variety of data sources and provide ongoing support for data users.
  • Write efficient, complex SQL queries to extract, transform, and analyze large datasets from multiple sources.
  • Support AI initiatives and apply statistical analysis and machine learning techniques to identify trends, forecast outputs, and support predictive initiatives.
  • 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 technical and non-technical stakeholders in a clear and compelling manner.
  • Identify opportunities for process improvement and stay current on emerging data and AI tools and best practices.

Note: This description is intended to give you a general overview of the position. Additional responsibilities and opportunities may be identified based on current business needs.
Qualifications
To meet the basic qualifications for this role, you will have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship.
Additional qualifications include:
  • High School Diploma or equivalent required; Bachelor's degree in Data Science, Information Systems, Statistics, Engineering, Computer Science, or a related field preferred
  • Minimum 3 years' of hands-on experience in a data analyst or similar role, preferably within oil & gas, energy, retail, or a related industry, required
  • Experience building dashboards and visualizations in Looker and Power BI required
  • Working knowledge of Google Cloud Platform (GCP), particularly BigQuery, including data modeling and performance tuning, required
  • Proven experience in data modeling - including dimensional modeling (star/snowflake schemas), entity-relationship design, and semantic layer development - required
  • Strong proficiency in SQL for data querying and manipulation required
  • Experience with LookML for Looker dashboard development required
  • 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 complex datasets into clear, actionable narratives for non-technical audiences
  • Identifying trends, anomalies, and opportunities through exploratory analysis
  • Delivering analysis that directly supports operational or financial decision-making
  • Familiarity with supply trading, refining, logistics, retail, or finance data types (e.g., Retail data, SAP extracts, operations feeds) preferred
  • Experience with Apache Airflow or other data orchestration tools preferred
  • Experience with statistical tools and predictive analytics is highly preferred
  • GCP Professional Data Engineer or equivalent certification preferred

About Us
At Par Pacific, we own and operate market-leading energy and infrastructure businesses in logistically complex markets. We have built a team of downstream industry veterans and subject matter experts to lead our organization with an entrepreneurial spirit and a collaborative, problem solving approach. We bring our diverse strengths and motivation to complex markets where we seek out diamonds in the rough. As a nimble, growing organization, we actively pursue new opportunities with corporate financing know-how, respond to local market demands, and adapt to changing external environments.
More Good Reasons to Work for Par Pacific
Unique Culture
There is nothing ordinary about Par Pacific -- a niche player in the energy space. And there's certainly nothing ordinary about Par Pacific employees. We are driven, hardworking, entrepreneurial-minded professionals who love to win. If that describes you, you'll fit right in.
Location, Location, Location
Because Par Pacific operates in some of the most beautiful places throughout the country, our employees get to make these places their home and enrich their lives. The office where you'll work is in the CityCentre in Houston, Texas, located on the west side of Houston near I-10 and the Sam Houston Tollway. It's a vibrant area of the city with plenty of places for lunch or to wind down after work.
Opportunistic Growth Strategy
At Par Pacific, we look for operations with strong fundamentals and great employees who can move a business forward. Our management team has deep experience in the energy industry, as well as in leading mergers, acquisitions, and integrations of newly acquired companies.
Focused on the Future
We are an energy company that has recognized the imperative and embraced the opportunity to begin the transition from fossil fuels. We are developing products that help reduce greenhouse gas emissions.
Excellent Compensation and Benefits
In addition to a competitive salary, we offer a strong comprehensive benefits package that includes medical, dental and vision insurance, a robust allotment of paid time off, a 401(k) with company match, retirement savings plans, educational reimbursement, and more. Full-time employees (and their families) are offered medical (with prescription coverage), dental, vision, voluntary critical illness, accident, life/AD&D insurance, Flexible Spending Account and Employee Assistance Program. Employees can purchase company stock at discounted prices through the Employee Stock Purchase Program.
Our Headquarters
Par Pacific Holdings, Inc., based in Houston, Texas, owns, manages and maintains interests in energy and infrastructure businesses. We are a growing energy company focused on renewable and conventional fuels in the Western United States. Par Pacific also owns 46% of Laramie Energy, LLC, a natural gas production company with operations and assets concentrated in Western Colorado. Our common stock is publicly traded on the NYSE under the trading symbol "PARR".
Our Refineries and Logistics Operations
We own and operate refineries in Hawaii, Montana, Washington, and Wyoming, with total operating throughput capacity of over 219 Mbpd. Par Pacific owns and operates one of the largest energy networks in Hawaii with 94,000 bpd of operating refining capacity, a logistics system supplying the major islands of the state and 90 retail locations. In the Pacific Northwest and the Rockies, Par Pacific owns and operates 124,000 bpd of combined refining capacity and related multimodal logistics systems.
Our Retail Operations
We own and operate over 90 retail locations in Hawaii under the Hele and 76 brands and over 30 retail locations in Washington and Idaho under the nomnom brand.
Par Pacific Is an Equal Opportunity Employer
Par Pacific prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status,genetic information or any other status protected by applicable law.
Note: Par Pacific will not accept calls or unsolicited resumes from third-party recruiters. All candidates are required to apply through this web posting.