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Full Time Data Analyst Jobs in Renton, WA (NOW HIRING)

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data ... Special Consideration given for Experience & knowledge with Web Analytics or Digital Marketing ...

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data ... Special Consideration given for Experience & knowledge with Web Analytics or Digital Marketing ...

Manufacturing Quality Analyst

Kirkland, WA · On-site

$28.82 - $43.38/hr

Provide data support for management reviews and customer reporting. * Develop and maintain ... We offer competitive compensation and benefits to our full-time, US-based employees, including:

Expertise in Excel - should be able to present the data in accurate way using charts, graphs, complex Excel functions Experience in Data Analysis. Should be able to make sense of data and analyze the ...

Intern/Co-op opportunities can lead to full-time careers * Gain real world experience in developing finance forecasts, conducting data analysis, analyzing go to market deals, and tackling process ...

Intern/Co-op opportunities can lead to full-time careers * Gain real world experience in developing finance forecasts, conducting data analysis, analyzing go to market deals, and tackling process ...

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Showing results 1-20

Full Time Data Analyst information

See Renton, WA salary details

$38.2K

$93K

$153K

How much do full time data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for full time data analyst in Renton, WA is $92,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $109,100.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Analyst vs Part Time Data Analyst?

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

What are typical collaboration partners for a Full Time Data Analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

What does a Full Time Data Analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

What are the key skills and qualifications needed to thrive as a Full Time Data Analyst, and why are they important?

To thrive as a Full Time Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.
What are the most commonly searched types of Data Analyst jobs in Renton, WA? The most popular types of Data Analyst jobs in Renton, WA are:
What job categories do people searching Full Time Data Analyst jobs in Renton, WA look for? The top searched job categories for Full Time Data Analyst jobs in Renton, WA are:
What cities near Renton, WA are hiring for Full Time Data Analyst jobs? Cities near Renton, WA with the most Full Time Data Analyst job openings:
Infographic showing various Full Time Data Analyst job openings in Renton, WA as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $92,956 per year, or $44.7 per hour.
Arabic Data Labeling Analyst(Speech & Voice)

Arabic Data Labeling Analyst(Speech & Voice)

Welocalize

Seattle, WA

$26 - $28/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

335th of 426 rated business services


Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.

What You'll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions
What We're Looking For
  • Native-level fluency in Croatian
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location


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