1

Data Extraction Analyst Jobs in Seattle, WA (NOW HIRING)

Data Analyst

Redmond, WA · On-site

$147K - $156K/yr

The role focuses on building and optimizing data pipelines using Azure Data Factory, Azure SQL, Python, and SQL , developing ETL processes, supporting data models, and delivering scalable analytics ...

Design, implement, automate and maintain large scale enterprise data ETL processes * Modify existing databases and database management systems and/or direct programmers and analysts to make changes

Data Analyst

Seattle, WA · On-site

$65 - $95/hr

You will provide support to our internal project teams and our clients to extract, compile, analyze and visualize data to help us make informed decisions that drive improvement in the way that ...

New

Data Engineer, Devices Sales & Marketing

Bellevue, WA · On-site

$129K - $155K/yr

... ETL pipelines - Experience building/operating highly available, distributed systems of data ... Analytics, Database, and/or Storage Amazon is an equal opportunity employer and does not ...

Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and ...

Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ... Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.) * Experience ...

... Extract data from BI Sales Reports to build out analysis of publisher performance â Comparison analytics YOY variance of actual to forecast for both C2C and CSV â Ad-hoc reporting for various ...

Data Analyst 4

Redmond, WA · On-site

$71 - $76/hr

Support data integrations, ETL processes, and reporting solutions. * Work with tabular data models for advanced analytics. * Ensure data quality, reliability, and scalability across planning and ...

Showing results 21-40

Data Extraction Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do data extraction analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data extraction analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

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.

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 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 popular job titles related to Data Extraction Analyst jobs in Seattle, WA?

For Data Extraction Analyst jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Extraction Analyst jobs in Seattle, WA look for?

The top searched job categories for Data Extraction Analyst jobs in Seattle, WA are:

Infographic showing various Data Extraction Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

$147K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Ascendion
Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
  • Build the coolest tech for world's leading brands
  • Solve complex problems - and learn new skills
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands-on experience
  • Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About the Role:
We are seeking anAzure Data Engineerto support workforce planning and analytics solutions. The role focuses on building and optimizing data pipelines usingAzure Data Factory, Azure SQL, Python, and SQL, developing ETL processes, supporting data models, and delivering scalable analytics solutions. The ideal candidate will have strong experience in cloud data engineering, database performance tuning, data integration, and translating business requirements into reliable data solutions.
Job Title:Data Engineer
Key Responsibilities:
• Develop, maintain, and enhance staffing and workforce planning models.
• Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services.
• Develop analytical solutions and automation using SQL and Python.
• Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning.
• Support data integrations, ETL processes, and reporting solutions.
• Work with tabular data models, including SSAS cubes.
• Ensure data quality, reliability, and scalability across planning and reporting platforms.
• Partner with business stakeholders to translate workforce planning requirements into analytical solutions.
Minimum Qualifications:
  • Bachelor's degree in a technical field such as computer science, computer engineering or related field required
  • 5+ years applicable experience required

Location: Puget Sound, WA
Salary Range: The salary for this position is between $1,47,000 - $1,56,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!
Preferred Skills
SQL
  • Azure
  • Python
  • Data Analysis SQL
  • Data Analysis