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Python Data Analyst Jobs in Texas (NOW HIRING)

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

... Python. • Identifying areas for improvement in data collection and analysis processes and recommending solutions to improve efficiency and accuracy. • Preparing reports and presentations to ...

The Geoscience Data Analyst is a technically skilled, detail-oriented professional responsible for ... Develop and enhance scripts and tools (e.g., Python, SQL) to automate data ingestion and QC, ...

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 ...

Data Analyst LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Data Analyst Location: US-Remote About the role The Insights & Analytics team at LTK is a core ... Experience with Python, R, or similar tools for analysis or automation is a plus, but not required.

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 ...

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 ...

We are seeking a data visualization expert with a passion for transforming complex data into clear ... Experience in Python and advanced analytics * Demonstrated experience building executive-ready ...

Data Analyst II We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Experience using tools like Python (pandas, NumPy) or R for complex data manipulation * Ability to ...

Data Analyst II We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Experience using tools like Python (pandas, NumPy) or R for complex data manipulation * Ability to ...

Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis * Assess the quantitative and qualitative impacts of possible actions based on your insight, taking ...

Data Analyst LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Our client, a major Oil and gas company, is looking for a Data Analyst III to work on a 12 months ... Experience with Databricks and working knowledge of Python a plus. * Experience with Upstream ...

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Python Data Analyst information

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.

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.

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 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 job categories do people searching Python Data Analyst jobs in Texas look for? The top searched job categories for Python Data Analyst jobs in Texas 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 May 2026, with employment types broken down into 5% As Needed, 71% Full Time, 11% Part Time, 5% Temporary, 5% Contract, and 3% Nights. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution.
Enterprise Data Analyst

Enterprise Data Analyst

Tri-County Electric Cooperative

Azle, TX • On-site

Full-time

Posted 23 days ago


Job description

Position Purpose:

Provides business intelligence, data analysis, light development, and enterprise application support by turning operational data into accurate, usable insights. Develops reports, dashboards, data pipelines, API-based integrations, and custom scripts while improving data quality, workflow efficiency, and reporting consistency across the Cooperative.

Job Dimensions:

Internal Responsibility - Works with IT, Cybersecurity, Member Services, Finance, Accounting, Billing, Engineering, Operations, System Operations, and other departments to gather reporting needs, support application processes, and improve data use.

External Responsibility - Coordinates with software vendors and data providers as needed for enterprise applications, reporting tools, integrations, APIs, and data platforms.

Principal Accountabilities:

  1. Develop and maintain dashboards, reports, and data extracts using SQL, Power BI, Tableau, Crystal Reports, and related tools.
  2. Translate business requirements into accurate reporting, analytics, and technical solutions for technical and non-technical users.
  3. Extract, transform, validate, and analyze data from enterprise systems, databases, APIs, SFTP sources, and other approved sources.
  4. Develop and support ETL/ELT workflows, API-based integrations, and custom scripts or automations using SQL, Python, PowerShell, C#, Java, or similar tools.
  5. Support and troubleshoot enterprise applications and workflows, including CIS, FIS, GIS, AMI, OMS, SCADA, Laserfiche, and related systems.
  6. Assist with data lake, warehouse, and reporting platform practices for data quality, governance, security, accessibility, and performance.
  7. Partner with departments and vendors to understand needs, present findings, resolve issues, and recommend process or reporting improvements.
  8. Work with IT and Cybersecurity to ensure applications, integrations, and data processes follow security and compliance expectations.
  9. Evaluate tools, technologies, and reporting processes to improve efficiency, reliability, and decision-making.

Minimum Requirements:

Education and Experience: Bachelor's degree in Information Technology, Data Analytics, Business Analysis, or related field preferred; or equivalent relevant experience. At least two years of relevant experience required; three or more years in BI, data analytics, reporting, or enterprise applications preferred.

Operational Experience: Experience building dashboards/reports, writing SQL, analyzing data, supporting business applications, and working with users to define requirements. Some developer or scripting experience preferred, especially with API integrations, custom scripts, ETL/ELT, SFTP, databases, data warehousing, web scraping, or utility systems.

Knowledge/Skills/Abilities: Working knowledge of SQL Server, Oracle, Power BI, Tableau, Crystal Reports, Python, PowerShell, C#, Java, XML, JavaScript, and/or related tools. Strong analytical, troubleshooting, documentation, communication, and coordination skills. Ability to manage priorities, protect data integrity and security, and explain technical information clearly. Snowflake, Alteryx, R, cloud data platforms, or BI/SQL certifications preferred.


Job Posted by ApplicantPro