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Data Extraction Analyst Jobs (NOW HIRING)

Kasmo Global

Data Platform Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

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

Perfict Global, Inc.

Data Analyst

Concord, CA · On-site

Proficiency in data extraction, transformation, and load (ETL) * Power BI * DAX * Power Query (M Scripts) * SQL * Automation using Power Automate * Data analytics/statistical analysis Preferred ...

Diverse Lynx

Data Analyst/ Data Engineer

Princeton, NJ · On-site

Perform data mining to extract meaningful patterns and insights from large datasets * Conduct data profiling to assess data quality, consistency, and accuracy * Analyze complex datasets and interpret ...

My3Tech Inc

Sr. Data Analyst

Quincy, MA · Remote

$90.40K - $114.10K/yr

Source to target mappings, Data environment diagrams, etc..) • Proficiency in SQL for data extraction, manipulation, and analysis. • Experience with data visualization tools such as Tableau ...

TrekRecruit

Data Analyst

Fairfax, VA · On-site

Proficiency in Tableau for dashboard creation and visual storytelling; understanding of context filters and data connection strategies (Extract vs. Live). * Working knowledge of predictive analytics ...

Samprasoft

Data Analyst

Great Lakes, IL · On-site

Data Analyst As a Data Analyst in our client's Genomics Research Center's Bioinformatics ... Build and execute ETL processes to integrate non-GRC generated high-value datasets into the common ...

E-Solutions

Data Analyst

Torrance, CA · On-site

Create and maintain sql databases, writing queries for data extraction, transformation, and loading ... Have analytical and problem-solving skills to identify and resolve data related issues efficiently.

Infojini

Data Specialist Analyst

San Francisco, CA

... extraction, transformation, and loading of data from a wide variety of data sources using SQL, SAS ... analyzing and documenting all product life cycle artifacts such as functional requirements ...

Argyle Infotech

Extract and analyze data from Guidewire databases and related systems using SQL and other query tools. * Work on data migration projects, ensuring accuracy and completeness of migrated data.

VAST Data

Senior Product Data Analyst

Manhattan, NY · On-site

$94.80K - $119.60K/yr

Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes * Strategic Analysis: Design, implement, and ...

Samprasoft

Analyst, Data / Database III

Atlanta, GA · On-site

... extraction, manipulation, and analysis. • Experience with data visualization tools such as Tableau, Power BI, or Excel. • Familiarity with statistical analysis techniques and tools. • Strong ...

Diverse Lynx

Data Analyst

Dallas, TX · On-site

$100K - $115K/yr

Design, write, and optimize complex SQL queries to extract, transform, and analyze data from multiple sources * Develop and maintain Power BI dashboards and reports, ensuring data accuracy ...

VAST Data

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94.70K - $119.40K/yr

Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes * Strategic Analysis: Design, implement, and ...

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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 May 28, 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 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 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 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 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.

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 May 2026, with employment types broken down into 4% As Needed, 30% Full Time, 51% Part Time, and 15% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Platform Engineer

Kasmo Global

San Jose, CA • On-site

$134.20K - $161.10K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Platform Engineer

Location - San Jose, CA (4 Days WFO)

Note - Candidate should take berribot coding test within 24-48hr.

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.

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