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Data Extraction Analyst Jobs in Texas (NOW HIRING)

Data Engineer

Addison, TX · On-site

$110K - $133K/yr

... ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high ... for analytics and reporting teams. • Drive implementation of Master Data Management (MDM ...

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

... ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high ... for analytics and reporting teams. • Drive implementation of Master Data Management (MDM ...

SQL for data extraction and analysis * Statistics and Probability * Machine Learning (Supervised & Unsupervised Learning) * Data Cleaning and Feature Engineering * Data Visualization (Tableau, Power ...

Analyze trends and deliver actionable business insights * Gather, document, and translate business ... Strong SQL experience with data extraction, transformation, validation, and reconciliation

New

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... analytics and reporting efforts. * 8+ years of hands-on experience with data management in ... Experience with ETL processes and data pipeline design. * Design, build, and maintain scalable data ...

Data Engineer

Plano, TX · On-site

$80K - $100K/yr

Write and optimize SQL queries for data extraction, transformation, and analysis. * Build and maintain statistical models to generate insights from historical business data and performance trends.

... data ETL processes • Modify existing databases and database management systems and/or direct programmers and analysts to make changes • Test programs or databases, correct errors and make ...

New

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... analytics and reporting efforts. * 8+ years of hands-on experience with data management in ... Experience with ETL processes and data pipeline design. * Design, build, and maintain scalable data ...

Data Analyst Sr - Level 3

Fort Worth, TX · On-site

$82K - $103K/yr

Extract, clean, and transform data from multiple sources while maintaining data integrity and documentation. * Perform exploratory analysis, develop statistical models, and create forecasts to ...

... data extraction and analysis • Experience with Tableau, Power BI, or similar business intelligence platforms • Understanding of forecasting, inventory management, KPI reporting, and data ...

Showing results 41-60

Data Extraction Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do data extraction analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data extraction analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Extraction Analyst vs Data Analyst?

AspectData Extraction AnalystData Analyst
Primary FocusExtracting, cleaning, and preparing data from various sourcesAnalyzing data to identify trends and support decision-making
Skills & ToolsSQL, data scraping, ETL tools, data managementExcel, statistical analysis, visualization tools, SQL
Work EnvironmentData warehouses, databases, ETL pipelinesReporting platforms, dashboards, business intelligence tools
Common IndustriesIT, finance, marketing, e-commerceFinance, healthcare, marketing, consulting

While both roles involve working with data, Data Extraction Analysts focus on retrieving and preparing data for analysis, whereas Data Analysts interpret and analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a data extraction analyst, and why are they important?

To thrive as a Data Extraction Analyst, strong analytical skills, attention to detail, and proficiency in data management are essential, often supported by a degree in computer science, information systems, or a related field. Familiarity with ETL (Extract, Transform, Load) tools, SQL databases, and data visualization software is typically required, and certifications in data analytics or database management can be advantageous. Excellent problem-solving abilities, communication skills, and adaptability help analysts effectively interpret data requirements and collaborate with stakeholders. These skills ensure accurate data extraction, support informed decision-making, and maintain data integrity in complex organizational environments.

What is a data extraction analyst?

A Data Extraction Analyst is a professional responsible for collecting, processing, and interpreting data from various sources, such as databases, documents, and websites. They use specialized tools and software to extract relevant data, ensuring its accuracy and integrity. Their work supports business decisions, reporting, and analytics by making data accessible and usable for organizations. Data Extraction Analysts often collaborate with IT, data science, and business teams to streamline data workflows and comply with data privacy regulations.

What are the most common challenges data extraction analysts face when working with unstructured data sources?

Data Extraction Analysts often encounter challenges when dealing with unstructured data, such as inconsistent formats, incomplete records, and noisy or irrelevant information. Extracting reliable data from sources like scanned documents, emails, or social media posts requires advanced tools and techniques, including optical character recognition (OCR) and natural language processing (NLP). Overcoming these challenges typically involves close collaboration with data engineers and subject matter experts, as well as continuous refinement of extraction processes to maintain data quality and accuracy.
Infographic showing various Data Extraction Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Senior Business Data Quality Analyst

Indotronix International Corporation

Austin, TX • On-site

$70 - $80/hr

Contractor

Re-posted yesterday


Job description

Payrate:$70-80/Hr
 
Overview
The Worker will serve as a senior business data quality analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine data profiles and quality measures for developing agency analytical reporting and strategic decision-making. The ideal candidate has strong analytical and SQL skills, a deep understanding of HHS programs and data, strong history of data profiling across HHS data domains, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
 Responsibilities
•       Strategic Liaison and Translation
  • Work with program areas, project sponsor and system SMEs to understand data domains and common data quality issues.
  • Explain technical findings and data limitations in simple, non-technical language to end-users.
•       Data Reporting and Visualization
  • Extract, integrate, and analyze sample data from multiple complex internal and external sources to support HHS analytics needs.
  • Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing data quality profiles for constantly emerging analytics needs.
  • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
  • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
•       Data Literacy and Training
  • Champion data quality literacy across the organization by developing and conducting training sessions for non-technical staff.
  • Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
  • Promote a data-driven culture by enabling and empowering all employees to effectively utilize data profiling tools and AI.
•       Collaboration and Problem-Solving
  • Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
  • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
  • Stay up to date on new AI and data quality tools and techniques to continuously improve data analytics, data quality and reporting.
•       AI Prompting and Data Synthesis
  • Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.
  • Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
  • Develop a library of standardized prompts and query templates for common reporting needs.
CANDIDATE SKILLS AND QUALIFICATIONS
 
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years Required/Preferred      Experience
8     Required    Experience gathering business requirements and translating complex data acquisitions and operational requirements into clear, actionable access paths for data profiling for                                   complex analytics
8     Required    Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
8     Required    Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
8     Required    Strong experience with SQL for data extraction, data profiling, manipulation and enrichment.
8     Required    Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate data profiles  for analytics development and business data                                        lineage analysis.
8     Required    Excellent communication, presentation, and interpersonal skills.
5     Preferred   Experience with Business Intelligence/Data Warehouse
5     Preferred   Experience acting as the primary point of contact for program staff with data profiling needs for analytics projects
5     Preferred   Experience working in a health and human services or similarly regulated environment, with a strong understanding of agencydata domains.
5     Preferred   Experience with data governance and data quality principles
5     Preferred   Experience with data profiling tools such as Snowflake Cortex or Toad
2     Preferred   Experience championing data literacy across the organization
2     Preferred   Experience training and mentoring staff with varying levels of data literacy.
1     Preferred   Experience with AI prompt development

Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US