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

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

HR Data Analyst

El Paso, TX · Remote

$60.50 - $65.50/hr

Proficiency in HRIS software and data analysis tools (e.g., Excel, SQL, R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create engaging reports and dashboards.

New

Digital Analyst Internships

El Paso, TX · On-site

$89K - $105K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Las Cruces, NM · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in Python or R for data analysis. * Experience with SQL and working with relational databases. * Strong foundation in statistics, machine learning, and data modeling. * Ability to clearly ...

Proficiency in Python or R for data analysis. * Experience with SQL and working with relational databases. * Strong foundation in statistics, machine learning, and data modeling. * Ability to clearly ...

Proficiency in Python or R for data analysis. * Experience with SQL and working with relational databases. * Strong foundation in statistics, machine learning, and data modeling. * Ability to clearly ...

Proficiency in Python or R for data analysis. * Experience with SQL and working with relational databases. * Strong foundation in statistics, machine learning, and data modeling. * Ability to clearly ...

SQL Tutor

El Paso, TX · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

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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 Jul 26, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 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:
Chief Analyst

Full-time

Posted 25 days ago


Texas Tech University Health Sciences Center rating

7.0

Company rating: 7.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

434th of 611 rated colleges and universities


Job description

Position Description
Performs specialized analytical duties in the operation and maintenance of assigned area. Responsibilities include collecting, analyzing and developing data relative to area, making recommendations and assisting in implementation of projects. Work is performed under general supervision with latitude for independent judgement in accordance with established policies and procedures.
Major/Essential Functions
  • Supports the accurate and timely submission of institutional reports by assisting in validation and compliance checks using SQL, Python, Excel, Cognos, and Tableau to ensure data integrity and regulatory adherence.
  • Provides technical support in data extraction, transformation, and automation processes using SQL, Python, Excel, and SSIS.
  • Assists in maintaining and improving the institutional data repository by validating and integrating data using SQL, Python, and SSIS in connection with Banner ODS to streamline reporting workflows.
  • Contributes to the development, validation, and refinement of predictive models, dashboards, and analytical tools using SQL, Python, Excel, Cognos, and Tableau.
  • Ensures consistency and accuracy in BI reports and dashboards by supporting data extraction, validation, and analysis using SQL, Excel, Cognos, Tableau, and Power BI.
  • Conducts verification of data for internal and external data requests, regulatory submissions, and presentation materials using SQL, Excel, and Cognos to ensure accuracy and consistency.
  • Supports the creation of data quality monitoring tools and dashboards using SQL, Python, Tableau, and SSIS to detect and address data inconsistencies.
  • Collaborates with institutional stakeholders to identify, investigate, and resolve data discrepancies and improve reporting
  • accuracy.
  • Contributes technical expertise to the Institutional Research Committee, supporting collaborative research initiatives using SQL, Python, Excel, Cognos, Tableau, and SSIS.
  • Supports the management and organization of institutional research documentation and reports using SharePoint to ensure secure access, version control, and efficient dissemination.
  • Effectively supports Institutional Research operations by contributing to task execution, workload management, and process optimization.
  • Participates in training, workshops, and professional development activities to stay current with best practices in institutional research, data analytics, and business intelligence tools, including SQL, Python, Excel, Cognos, Tableau, Power BI, and SSIS.
  • Remains current with all licensure, certifications and mandatory compliances and trainings required of this position.
  • Adhere to all policies, procedures and practices (Regents Rules, TTUS, HSECEP OPs, etc.).
  • Personally demonstrate, display and act in accordance with TTUHSC EP's Values (Service, Respect, Accountability, Integrity, Advancement, and Teamwork). Serve as a Value's leader while actively promoting and encouraging staff across the institution.
  • Perform all other duties as assigned.

Preferred Qualifications
  • A master's degree in a relevant field such as Data Science, Statistics, Business Analytics, Computer Science, Institutional Research, or Higher Education is preferred.
  • Experience using data visualization tools such as Tableau, Power BI, or Cognos; familiarity with predictive modeling, enrollment forecasting, and machine learning applications in higher education.
  • Experience working with student information systems like Banner, PeopleSoft, or Workday; familiarity with database systems, business intelligence tools, and data warehousing concepts and SharePoint.
  • Experience in data extraction, reporting automation, and basic predictive analytics within a higher education or similarly complex environment.
  • Knowledge of higher education reporting processes and compliance requirements (e.g., IPEDS, CBM reports, and accreditation
  • reporting).

Pay Statement
Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as the institutional pay plan. For additional information, please reference the institutional pay plan website at https://app4.ttuhsc.edu/payplan.
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.
Jeanne Clery Act
The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act is a federal statute requiring colleges and universities participating in federal financial aid programs to maintain and disclose campus crime statistics and security information. By October 1 of each year, institutions must publish and distribute their Annual Campus Security Policy & Crime Statistics Report (ASR) to current and prospective students and employees. To view this report, visit the TTUHSC Clery Act website at https://www.ttuhsc.edu/compliance/clery-report.aspx.

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