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

McLane Company

Data Scientist - MBIS

Temple, TX · Hybrid

Bachelor's degree in data science, data analytics, or related field; or comparable job experience. * Two years' experience in predictive modeling and machine learning. * Proficiency in Python and SQL.

McLane Company

Sr. Data Engineer

Temple, TX · Hybrid

$92K - $111K/yr

This role is ideal for a detail oriented, analytical professional with deep SQL expertise and experience supporting data warehouses, analytics platforms, and batch processing environments. This is a ...

Williamson County

IT Analyst III: Security

Georgetown, TX · On-site

$93K - $101K/yr

... SQL reports for judicial data Develops analytical methods to enable data-driven decision making ... using FME/ETL, Python, HTML to automate processes Collaborates with Information Technology ...

City of Killeen (TX)

GIS ANALYST II

Killeen, TX · On-site

$60K - $90K/yr

... data collector to capture city asset locations. * Ability to interpret Python code and T-SQL code ... Ability to define, analyze, and find solutions for difficult or complex problems using GIS ...

Apex Systems

Senior Data Engineer

Temple, TX · On-site +1

$98K - $133K/yr

Build data products that increase productivity for engineers, analysts, and data scientists ... Expertise in SQL, including advanced capabilities. * Proficiency with big data technologies such as ...

SpaceX

Test Engineer (Falcon Test)

Mcgregor, TX · On-site

Experience with code based data analytics (Python, R, MATLAB, NI LabVIEW) to solve real world problems * Demonstrated experience of effective root cause and failure analysis * Experience writing and ...

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Data Analyst Python Sql information

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$30.4K

$73.9K

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

As of Jun 11, 2026, the average yearly pay for data analyst python sql in Killeen, TX is $73,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,700.00 per year, depending on experience, location, and employer.

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.

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.

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 job categories do people searching Data Analyst Python Sql jobs in Killeen, TX look for? The top searched job categories for Data Analyst Python Sql jobs in Killeen, TX are:
What cities near Killeen, TX are hiring for Data Analyst Python Sql jobs? Cities near Killeen, TX with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

Systems Analyst 3 - Data Integration / ETL / Analytics - 26-06253

NavitasPartners

Georgetown, TX • Hybrid

Other

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

Job description

Systems Analyst 3 - Data Integration / ETL / Analytics

Location - Austin, TX (Hybrid: 3 Days Onsite - Tues/Wed/Fri)
Duration: 12 Months

Position Overview

The client is seeking an experienced Systems Analyst / Data Engineering professional to support the continued development of a Data Integration Hub within the Performance Management & Analytics System (PMAS) environment.

This role focuses heavily on:

  • ETL development using Informatica Power Center / IICS
  • Advanced Snowflake SQL
  • Data integration and dimensional modeling
  • Agile-based data engineering initiatives
  • Healthcare analytics and performance management systems

The consultant will collaborate closely with architects, data engineers, and business stakeholders to design, build, test, and support scalable analytics solutions.

Core Responsibilities
  • Build and maintain ETL mappings/workflows using Informatica Power Center or IICS
  • Develop advanced Snowflake SQL scripts, views, and materialized views
  • Integrate data from:
    • Oracle
    • SQL Server
    • Excel
    • Access
    • Adobe PDF
  • Support data warehouse and dimensional model development
  • Participate in Agile sprint ceremonies
  • Create epics, user stories, and technical documentation
  • Perform integration, load, and stress testing
  • Develop automation for validation and verification
  • Collaborate on data acquisition and architecture strategies
  • Support deployments and ongoing operational enhancements
  • Produce mockups and technical specifications
Required Skills & ExperienceMust-Have (8+ Years)
  • Informatica Power Center or IICS ETL development
  • Data integration from multiple source systems
  • Snowflake SQL development
  • Systems analysis for analytics/data warehousing projects
  • Technical documentation and diagramming (Visio, Erwin)
  • Software platform delivery across enterprise systems
  • Writing efficient, testable code
Preferred SkillsStrongly Preferred
  • Agile/Scrum experience
  • Healthcare/HHS experience
  • Experience with PHI/PII data
  • Python scripting
  • JIRA
  • REST/SOAP web services
  • Java / JavaScript
  • GitHub Actions / CI-CD pipelines
  • MuleSoft
  • AI tools such as:
    • Snowflake Cortex
    • Informatica Claire

For more details reach at resumes@navitassols.com

Apply