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Python Data Analyst Jobs in El Paso, TX (NOW HIRING)

Data Science Tutor

El Paso, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms. * Utilize Python and modern analytics tooling to prototype, validate, and ...

Showing results 41-60

Python Data Analyst information

See El Paso, TX salary details

$30.8K

$74.7K

$123K

How much do python data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for python data analyst in El Paso, TX is $74,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $87,700.00 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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are popular job titles related to Python Data Analyst jobs in El Paso, TX?

For Python Data Analyst jobs in El Paso, TX, the most frequently searched job titles are:

What cities near El Paso, TX are hiring for Python Data Analyst jobs?

Cities near El Paso, TX with the most Python Data Analyst job openings:

Infographic showing various Python Data Analyst job openings in El Paso, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,743 per year, or $35.9 per hour.

Senior Test & Evaluation Analyst

Yulista Holding, LLC

Fort Bliss, TX • On-site

$80 - $100/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Summary

The Operational Research Systems Analyst (ORSA) provides analytical, modeling, simulation, and operational assessment support for Army Test and Evaluation (T&E) activities under the Test and Evaluation Technical Support Services (TETSS) contract. The ORSA supports developmental and operational test events by conducting quantitative and qualitative analysis of system performance, mission effectiveness, survivability, and operational suitability across a range of Army and Joint mission areas. The position supports planning, execution, analysis, and reporting efforts associated with live, virtual, constructive, and distributed test environments.

Key Responsibilities
  • Conduct operational analysis in support of Army developmental and operational test events.
  • Analyze test data, system performance metrics, operational effectiveness measures, and mission outcomes to support government decision-making.
  • Develop statistical models, data analysis methodologies, and analytical frameworks to support test design and evaluation activities.
  • Support development of Measures of Performance (MOPs), Measures of Effectiveness (MOEs), and Key Performance Parameters (KPPs).
  • Perform quantitative and qualitative analysis using modeling, simulation, and data visualization tools.
  • Assist in development of test concepts, test methodologies, data collection strategies, and analytical plans.
  • Support integration and analysis of data from instrumentation systems, tactical networks, sensors, and operational systems.
  • Prepare technical reports, briefing materials, white papers, and executive-level summaries supporting T&E findings and recommendations.
  • Participate in test planning working groups, technical interchange meetings, integrated product teams, and operational mission analysis activities.
  • Support after-action reviews, discrepancy resolution, and root-cause analysis efforts during test execution.
  • Coordinate with government personnel, engineers, military operators, and technical subject matter experts across multiple test directorates and mission areas.
  • Support analysis activities associated with air and missile defense, fires systems, EW systems, tactical networks, aviation systems, or emerging Army modernization platforms.
  • Maintain awareness of Army operational concepts, threat systems, mission command systems, and Joint operational environments relevant to assigned test activities.
Required Qualifications
  • Bachelor’s degree in Operations Research, Mathematics, Statistics, Engineering, Computer Science, Physics, Military Operations Research, Data Science, or related technical discipline.
  • Minimum of 5 years of experience supporting Department of Defense, Army, or Test and Evaluation activities.
  • Experience with statistical analysis, operational analysis, modeling and simulation, or data analytics.
  • Experience supporting live test events, operational assessments, or military exercises.
  • Proficiency with analytical and visualization tools such as MATLAB, Python, R, JMP, Tableau, Power BI, or equivalent tools.
  • Ability to analyze large datasets and present findings in a clear, concise manner.
  • Strong technical writing and briefing skills.
  • Ability to work in fast‑paced operational test environments with multiple concurrent priorities.
  • Active Secret security clearance required; Top Secret preferred.
Desired Qualifications
  • Experience supporting Army Test and Evaluation Command (ATEC), USAOTC, or operational test agencies.
  • Familiarity with Army modernization efforts, tactical communications, EW systems, air and missile defense systems, or modeling and simulation environments.
  • Experience with OneSAF, ExCIS, JSE, VBS4, or other distributed simulation environments.
  • Knowledge of DOT&E operational test methodologies and Army acquisition processes.
  • Military operational experience or prior support to tactical formations preferred.
Work Environment

Position may require travel to Army test ranges, operational sites, and field exercises including Fort Hood, Fort Bliss, Fort Huachuca, White Sands Missile Range, and other CONUS/OCONUS locations in support of Army operational testing activities.

Preference Statement

Preference will be given to Calista shareholders and their descendants and to spouses of Calista shareholders, and to shareholders of other corporations created pursuant to the Alaska Native Claims Settlement Act, in accordance with Title 43 U.S. Code 1626(g).

EEO Statement

Additionally, it is our policy to select, place, train and promote the most qualified individuals based upon relevant factors such as work quality, attitude and experience, so as to provide equal employment opportunity for all employees in compliance with applicable local, state and federal laws and without regard to non‑work related factors such as race, color, religion/creed, sex, national origin, age, disability, marital status, veteran status, pregnancy, sexual orientation, gender identity, citizenship, genetic information, or other protected status. When applicable, our policy of non‑discrimination applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, training, transfer, promotion, placement, layoff, compensation, termination, reduction in force and benefits.

Reasonable Accommodation

It is Calista and Subsidiaries' business philosophy and practice to provide reasonable accommodations, according to applicable state and federal laws, to all qualified individuals with physical or mental disabilities.

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