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Data Extraction Analyst Jobs (NOW HIRING)

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Data & Analytics Technologies SQL - Advanced querying, data extraction, analysis. Python - Data processing, analytics, scripting. Data Visualization Power BI - Dashboard creation, interactive reports.

Community Health Care Inc

Data Analyst

Bridgeton, NJ · On-site

$150K/yr

Data Analyst (Grant-Funded Position) Our Mission: "To improve lives by providing comprehensive ... Serve as a subject matter expert for clinical data structures, data extraction, and database ...

Complete Care NJ

Data Analyst

Bridgeton, NJ · On-site

$50K - $70K/yr

Data Analyst (Grant-Funded Position) Our Mission: "To improve lives by providing comprehensive ... Serve as a subject matter expert for clinical data structures, data extraction, and database ...

Glow Networks

Data Analyst

Mountain View, CA · On-site

Data Analyst Location: Mountain View, CA (Onsite) Duration: 6 Months with possible extension ... Design and develop data preparation components and processes that extract and transform data across ...

Community Health Care Inc

Data Analyst

Bridgeton, NJ · On-site

$150K/yr

Data Analyst (Grant-Funded Position) Our Mission: "To improve lives by providing comprehensive ... Serve as a subject matter expert for clinical data structures, data extraction, and database ...

1 point system

Insurance Data Analyst

New York, NY · Remote

Advanced SQL skills, including data extraction, joins, aggregations, and reconciliation analysis. * Experience analyzing policy, premium, and claims data. * Strong Excel skills, including PivotTables ...

Betis Group, Inc.

Data Analyst 4 (On site)

Richmond, VA · On-site

$45 - $50/hr

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 ...

Compunnel, Inc.

Data Analyst

Richmond, VA

Extract, analyze, and visualize EHR data to answer live clinical/operational questions, validating data accuracy through triangulation. Provide direct support to medical staff as the primary clinical ...

New

GSK Solutions Inc.

EHR Data Analyst (Onsite)

Richmond, VA · On-site

$60/hr

Job Title EHR Data Analyst (Onsite) Location Richmond, VA Duration 12 months Pay Rate $60/hr on C2C ... Establish practice for clinical data extraction and reporting with some completed reports answering ...

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All JobsData Extraction Analyst Jobs

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.
Data Platform Engineer

Data Platform Engineer

Programmers.io

San Jose, CA • On-site

$134K - $161K/yr

Contractor

Posted 11 days ago

Job description

Data & Analytics Technologies 

SQL – Advanced querying, data extraction, analysis.

Python – Data processing, analytics, scripting.

Data Visualization

Power BI – Dashboard creation, interactive reports.

Tableau – Data visualization and analytics dashboards.

Cloud & Data Platforms

AWS

Azure

Databricks

Familiarity with modern data platforms:

Data lakes

Data warehouses

Snowflake, Redshift

Data Engineering & Quality

Understanding of: Data models, Data pipelines, Data mappings

Data quality concepts: - Completeness, accuracy, consistency, timeliness

Ability to define validation rules, KPIs, and reconciliation logic.

Manufacturing & Operations Data Systems

Knowledge of: Manufacturing Execution Systems (MES), Test data systems, Supply chain systems, working with manufacturing event data, test logs, build data, quality metrics.