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Data Extraction Analyst Jobs (NOW HIRING)

nLeague

DOC - Data Analyst 4

Richmond, VA · On-site

Job Id: 805128 Data Analyst- Clinical Operations Informatics Specialist Client: VA DOC Location ... Establish practice for clinical data extraction and reporting with some completed reports answering ...

InstantServe LLC

Data Analyst 4

VA · On-site

The role supports workflow improvement, clinical data analysis, and validation work that informs ... Establish practice for clinical data extraction and reporting with some completed reports answering ...

Serigor, Inc.

Data Analyst 4 (Onsite)

Richmond, VA · On-site

Data extraction, analysis and visualization: Pulling data from the EHR to answer clinical and operational questions and validating it against reliable data sets. Building reporting that informs ...

New

TOMORROW HIRE

Data Analyst 4

Richmond, VA · On-site

Data Extraction, Analysis & Reporting * Extract, structure, and analyze clinical and operational data from Electronic Health Record systems. * Translate clinical questions into meaningful data ...

TOMORROW HIRE

Data Analyst 4

Richmond, VA · On-site

Data Extraction, Analysis & Reporting * Extract, structure, and analyze clinical and operational data from Electronic Health Record systems. * Translate clinical questions into meaningful data ...

TOMORROW HIRE

Data Analyst 4

Richmond, VA · On-site

Data Extraction, Analysis & Reporting * Extract, structure, and analyze clinical and operational data from Electronic Health Record systems. * Translate clinical questions into meaningful data ...

4P Consulting Inc.

Data Analyst 2

Birmingham, AL · On-site

... ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. · Statistical Analysis: Proficiency in ...

The OSU/A&M System

Data Analyst AS6462

Stillwater, OK · On-site

$47K - $69K/yr

Develops and maintains data extraction programs, prepares analytical reports, and applies statistical and mathematical models to support institutional decision-making at Oklahoma State University.

Stellar Professionals LLC

Data Analyst

Richmond, VA

Data Analyst We are seeking a senior Data Analyst for an exciting, high-impact role. This is a ... EHR Data Extraction & Validation: Extensive experience pulling data out of Electronic Health Record ...

Rose International

Data Analyst

Richmond, VA

Data Analyst Job Location: Richmond, VA, USA, 23225 Work Model: Onsite Shift: Regular Employment ... Establish practice for clinical data extraction and reporting with some completed reports answering ...

Capital Staffing, Inc

Be Seen First

Temp- Quality Data Analyst

Auburn, CA · On-site

$35 - $38/hr

This is done by providing data sources, data extraction, analysis, benchmarking, process improvement, and measurement of outcomes. DUTIES AND RESPONSIBILITIES: 1. Conduct ongoing data collection of ...

Cyber Resource

Healthcare Data Analyst

Richmond, VA

The role supports workflow improvement, clinical data analysis, and validation work that informs ... Establish practice for clinical data extraction and reporting with some completed reports answering ...

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Data Extraction Analyst information

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$34K

$82.6K

$136K

How much do data extraction analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data extraction analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
More about Data Extraction Analyst jobs
What cities are hiring for Data Extraction Analyst jobs? Cities with the most Data Extraction Analyst job openings:
What states have the most Data Extraction Analyst jobs? States with the most job openings for Data Extraction Analyst jobs include:
What job categories do people searching Data Extraction Analyst jobs look for? The top searched job categories for Data Extraction Analyst jobs are:
Data Extraction Analyst jobs near you
Infographic showing various Data Extraction Analyst job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 15% As Needed, 17% Full Time, 10% Part Time, and 55% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

DOC - Data Analyst 4

nLeague

Richmond, VA • On-site

Contractor

Posted 3 days ago

Job description

Job Id: 805128

Data Analyst- Clinical Operations Informatics Specialist

Client: VA DOC

Location: Onsite, 6900 Atmore Road, Richmond VA 23225

Duration: 12+ Months

Job Description:

  • The role supports workflow improvement, clinical data analysis, and validation work that informs practice and decision making across Health Services. This is a clinical facing role with a work focus on clinical practice and end user experience. They will work closely with the Health Services EHR team and alongside the technical teams responsible for EHR configuration and development.
     

Knowledge, Skills, Abilities or Competencies:

Minimum:

  • Demonstrated experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary, enabling interoperability, clinical decision support, coding, and data analytics.
  • Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective.
  • Extensive experience pulling data out of electronic health record systems
  • Demonstrated experience answering clinical questions into analysis of data from an electronic health record system.
  • Demonstrated experience validating EHR data with outside data sources
  • Demonstrated experience validating EHR data through triangulation with other data within the EHR
  • Demonstrated experience documenting workflows from clinical practice into EHR data entry and data management
  • Extensive experience with applying national EHR standards to an EHR product.
  • Demonstrated experience standardizing processes around an EHR implementation.
  • Demonstrated experience analyzing and documenting clinical workflows in a multidisciplinary care setting
  • Demonstrated ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership
  • Experience working in a multidisciplinary clinical environment with multiple stakeholder groups

Additional Considerations:

  • Clinical or medical background (nursing, medicine, pharmacy, or similar) preferred
  • Correctional or institutional healthcare experience desired; experience in other constrained, multidisciplinary clinical environments may substitute
  • Experience with EHR systems in a clinical capacity required


Core Duties:
1. Clinical workflow documentation
 

·         Documenting current workflows, identifying gaps, supporting staff-facing improvements, and contributing to standardization across state facilities.  Establish documented inventory of HSU clinical workflows in EHR with prioritized improvement recommendations.


2. Data extraction, analysis and visualization
 

·         Pulling data from the EHR to answer clinical and operational questions and validating it against reliable data sets.  Building reporting that informs practice, and otherwise visualizing data that supports leadership decision-making with evidence. Establish practice for clinical data extraction and reporting with some completed reports answering live HSU questions.


3. Validation and testing
 

·         Validation of EHR updates from user perspective view.  Consistent testing coverage of the base system in addition to support for MAR and related project components.  Establish documented reduction in validation gaps on EHR changes.


4. Direct support to medical staff
 

·         Acting as a clinical point of contact for EHR-related questions and requests, with responsiveness as an explicit value. Successful handoff of documentation and established processes for continuity of work.