1

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

Develop, maintain, and administer databases supporting data collection, reduction, analysis, and ... Python * SQL * C# * R * PHP * Oracle Database * Linux * Microsoft Access * Shell scripting * Batch ...

Senior Business Analyst

El Paso, TX · On-site

$73K - $95K/yr

Advanced proficiency in Excel, SQL, and BI tools (e.g., Power BI, Tableau). * Experience with syndicated data sources (e.g., Nielsen, IRI/Circana) highly preferred. * Strong analytical, problem ...

... 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 ...

... 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 ...

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering ... Strong proficiency in Python and SQL. * Experience working with Power BI, semantic models, governed ...

Showing results 21-40

Data Analyst Python Sql information

See El Paso, TX salary details

$30.8K

$74.7K

$123K

How much do data analyst python sql jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analyst python sql 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 is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

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

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

What job categories do people searching Data Analyst Python Sql jobs in El Paso, TX look for?

The top searched job categories for Data Analyst Python Sql jobs in El Paso, TX are:

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

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

Scientific Programmer

Yulista

Fort Bliss, TX • On-site

Full-time

Re-posted 20 days ago


Yulista rating

6.9

Company rating: 6.9 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

65th of 72 rated aerospace companies


Job description

Yulista Services LLCRegularDatabase & Systems Engineer (ExCIS Data Reduction)Job Summary

Yulista Aerospace Systems Engineering (ASE) is seeking a Database & Systems Engineer to support Operational Test (OT) data collection, reduction, management, and analysis activities. This position is responsible for developing, maintaining, and integrating databases and software solutions that support instrumentation systems, data processing, and research product distribution. The selected candidate will ensure reliable system performance, data integrity, cybersecurity compliance, and the delivery of accurate test data to customers and evaluation teams.

Essential Duties
  • Develop, maintain, and administer databases supporting data collection, reduction, analysis, and reporting activities.
  • Design and implement database structures, queries, reports, and automated processes to ensure accurate and efficient data management.
  • Develop scripts and software solutions to support system development, data reduction, automation, and reporting.
  • Analyze, troubleshoot, and maintain Local Area Networks (LAN), Wide Area Networks (WAN), and associated communications systems.
  • Configure, maintain, and upgrade hardware, operating systems, databases, and network software to ensure system availability and performance.
  • Perform software installations, system patches, hardware upgrades, and routine maintenance activities.
  • Establish and maintain database backup and recovery procedures while ensuring data integrity and system security.
  • Monitor, identify, and remediate cybersecurity vulnerabilities in accordance with organizational security requirements.
  • Maintain database documentation, configuration records, shell scripts, batch processes, and technical procedures.
  • Develop and maintain HTTP and FTP sites to support distribution of research products, technical documentation, source code, and data deliverables.
  • Coordinate with customers, engineers, and subject matter experts to verify instrumentation systems collect and deliver required data products.
  • Support instrumentation integration by providing technical recommendations to ensure systems receive, process, and output required Operational Test data.
  • Verify operational performance of instrumentation supporting stimulation, simulation, and harvested data collection.
  • Support development of Engineering Technical Packages and associated documentation.
  • Perform software unit testing, integration testing, troubleshooting, and validation of developed applications and database solutions.
  • Provide technical support for Automated Data Processing (ADP) systems connected to enterprise networks.
  • Work with vendor technical support to resolve hardware, software, and database issues.
  • Prepare reports and reduced data products for customer evaluation teams.
  • Ensure all technical documentation remains accurate, complete, and current.
Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Mathematics, Physics, or a related technical discipline.
  • Minimum of five (5) years of experience supporting ExCIS data reduction or comparable Operational Test data management environments.
  • Experience administering and maintaining relational databases and database management systems.
  • Experience developing automation scripts and software applications supporting data reduction and analysis.
  • Experience supporting Windows and Linux operating systems within networked environments.
  • Experience configuring, maintaining, and troubleshooting LAN/WAN infrastructure.
  • Ability to develop and maintain technical documentation and engineering artifacts.
Required Technical Skills

Experience with one or more of the following technologies:

  • Python
  • SQL
  • C#
  • R
  • PHP
  • Oracle Database
  • Linux
  • Microsoft Access
  • Shell scripting
  • Batch processing
  • Database administration and integration
  • Network administration
Security Clearance
  • Active Secret Security Clearance required.
Required Certification
  • CompTIA Security+ certification (required).
Preferred Qualifications
  • Experience supporting Department of Defense (DoD) Operational Test or developmental test environments.
  • Experience supporting instrumentation systems, data acquisition, or test and evaluation programs.
  • Familiarity with engineering technical documentation and automated data processing (ADP) systems.
  • Knowledge of cybersecurity best practices for enterprise database and network environments

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.
The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements.
This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.


What Yulista employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom