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Data Extraction Analyst Jobs in Texas (NOW HIRING)

Guru Schools

Jr. Data Analyst

Dallas, TX · On-site

Work with MSBI tools (SQL Server, SSIS, SSRS) to perform data extraction, transformation, and reporting. Analyze data and present weekly and monthly metrics to support business decision-making.

Nova Infotek

Junior Data Analyst

Houston, TX · On-site

Analyze financial, operational, and customer-related data to identify trends and insights ... Familiarity with SQL for data extraction and querying. * Knowledge of data visualization tools such ...

New

Diverse Lynx

Alteryx Developer

Frisco, TX · On-site

$50.25 - $66/hr

The role involves data extraction, analysis, and ensuring data quality while collaborating with end users to resolve workflow issues. Responsibilities : • Design, develop, validate, and ...

OmegaHires

Business Data Quality Analyst

Austin, TX · On-site

... data extraction, data profiling, manipulation, and enrichment * 8+ years of experience collaborating with end-users and performance analysts or IT internal leaders to create and validate data ...

Lorven Technologies

Systems Analyst 3

Austin, TX · On-site

... for data extraction, reporting, and analytics solutions. 3. Design, develop, test, optimize, and maintain Cerner Command Language (CCL) scripts within Cerner Millennium environments. 4. Perform ...

CGI Inc.

Data Analyst

Cleveland, OH · On-site

Data Analyst Category: Software Development/ Engineering Main location: United States, Ohio ... Design, develop, and optimize data extraction, transformation, and loading (ETL) processes using ...

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All JobsData Extraction Analyst JobsData Extraction Analyst Jobs in Texas

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 Jun 15, 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 skills are needed for data extraction?

Data Extraction Analysts need strong analytical skills, attention to detail, and proficiency with data management tools such as SQL, Excel, or specialized extraction software. Knowledge of programming languages like Python or R and understanding of data structures and databases are also important for efficient data retrieval and processing.

Is 40 too late for data science?

For a Data Extraction Analyst or similar data-related roles, age is generally not a barrier if you have relevant skills such as data analysis, SQL, or Python. Many professionals transition into data science or analytics later in their careers, and continuous learning through certifications or courses can enhance employability regardless of age.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the need for data analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and developing insights that require human judgment and domain expertise. The role continues to evolve, emphasizing skills in data visualization, programming, and understanding AI tools.

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 jobs will boom in 2026?

Data Extraction Analysts are expected to see increased demand as organizations rely more on data-driven decision-making. Skills in data mining, SQL, and automation tools will be valuable, and roles may expand in industries like finance, healthcare, and technology. Continuous learning and certifications in data management can enhance job prospects in this field.

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.
What are popular job titles related to Data Extraction Analyst jobs in Texas? For Data Extraction Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Extraction Analyst jobs in Texas look for? The top searched job categories for Data Extraction Analyst jobs in Texas are:
Data Extraction Analyst jobs near you
Infographic showing various Data Extraction Analyst job openings in Texas as of June 2026, with employment types broken down into 3% Locum Tenens, 14% As Needed, 21% Full Time, 10% Part Time, and 52% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.
UKG Data Extraction Specialist - Remote

UKG Data Extraction Specialist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Posted 12 days ago

Job description

NAVA Software solutions is looking for a UKG Data Extraction Specialist
Details:
UKG Data Extraction Specialist
Duration: 6 -12 months
Location: Remote Project
The UKG Data Extraction Specialist will play a crucial role in ensuring the success of the Oracle HCM project, contributing to the seamless integration of data and the achievement of project milestones within the specified timelines.
The data will have to be ready for MOCK load in June and then MOCK 2-3 for final load in December
Responsibilities:
  1. Data Extraction from UKG:
  • Utilize expertise in UKG (Ultimate Kronos Group) systems to extract required data accurately and efficiently.
  • Collaborate with stakeholders to understand specific data extraction requirements for the Oracle HCM project.
  • Must understand the table structures for UKG (the payroll/hr software)
  • Employ best practices to ensure data extraction is performed securely and in compliance with relevant regulations (such as GDPR).
  1. Data Transformation:
  • Analyze extracted data to identify any inconsistencies or anomalies that may require transformation.
  • Develop and implement data transformation processes to ensure compatibility with the Oracle HCM dataload requirements.
  • Ensure data integrity and quality are maintained throughout the transformation process.
  1. Oracle HCM Dataload Preparation:
  • Prepare extracted and transformed data for seamless integration into the Oracle HCM system.
  • Work closely with the 3rd party System Integrator team to understand dataload specifications and requirements.
  • Collaborate with cross-functional teams to resolve any issues or discrepancies that may arise during dataload preparation.
  1. Project Timelines and Deliverables:
  • Adhere to strict project timelines, ensuring data is ready for loads in Q2 and end of year .
  • Proactively identify and communicate any potential delays or challenges that may impact project deadlines.
  • Work efficiently to onboard quickly and ramp up productivity to meet project milestones effectively.

  1. Documentation and Reporting:
  • Maintain comprehensive documentation of data extraction and transformation processes, including any modifications or updates made.
  • Generate regular reports on data extraction progress, transformation efforts, and dataload readiness for project stakeholders.
  • Provide insights and recommendations for process improvements based on data analysis and project feedback.
  1. Collaboration and Communication:
  • Collaborate effectively with internal teams, including HR, IT, and project management, to ensure alignment with project goals and objectives.
  • Communicate regularly with stakeholders to provide updates on data extraction, transformation, and dataload preparation activities.
  • Act as a subject matter expert (SME) on UKG data extraction and Oracle HCM integration, offering guidance and support as needed.
  1. Continuous Learning and Development:
  • Stay updated on industry trends and best practices related to UKG systems, data extraction, and HCM integration.
  • Participate in training sessions and workshops to enhance skills and knowledge in relevant technologies and methodologies.
  • Share insights and expertise with the team to foster a culture of continuous learning and improvement.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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