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Data Analyst Jobs in Federal Way, WA (NOW HIRING)

As a data analyst in global operations, you'll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic ...

As a Data Analyst, you will be responsible for analyzing complex operational problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and ...

As a Data Analyst, you will be responsible for analyzing complex operational problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and ...

As a Data Analyst, you will be responsible for analyzing complex operational problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and ...

Sr Health Data Analyst

Seattle, WA

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented individual who is experienced, capable and comfortable working on dynamic, multi-faceted, fast-paced ...

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented individual who is experienced, capable and comfortable working on dynamic, multi-faceted, fast-paced ...

Real World Data Analyst (Contractor) Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster ...

Sr. Data Analyst/BIE

Seattle, WA · On-site

$97K - $123K/yr

... data collection, reporting, and analysis across our team through all phases of software development Qualifications The successful candidate will demonstrate: A track record delivering impactful ...

Sr. Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

Title: Sr. Health Data Analyst Location: Seattle, WA Job Type: Permanent Roles and Responsibilities: * Play a key role in the planning, development and production of performance reports addressing ...

Sr. Health Data Analyst

Seattle, WA

$97K - $123K/yr

Title: Sr. Health Data Analyst Location: Seattle, WA Job Type: Permanent Roles and Responsibilities: * Play a key role in the planning, development and production of performance reports addressing ...

Systems and Data Analyst Job Location: Seattle, WA Job Mode: Hybrid (2-3 days onsite) Contract Duration: 12 Months A senior-level SAP S/4HANA Production Planning Consultant with 8-10+ years of SAP PP ...

Showing results 21-40

Data Analyst information

See Federal Way, WA salary details

$38K

$92.3K

$151.9K

How much do data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst in Federal Way, WA is $92,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $108,300.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a 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, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Federal Way, WA?

The most popular types of Data Analyst jobs in Federal Way, WA are:

What are popular job titles related to Data Analyst jobs in Federal Way, WA?

For Data Analyst jobs in Federal Way, WA, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Federal Way, WA look for?

The top searched job categories for Data Analyst jobs in Federal Way, WA are:

What cities near Federal Way, WA are hiring for Data Analyst jobs?

Cities near Federal Way, WA with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Federal Way, WA as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 82% In-person, 3% Hybrid, and 15% Remote job distribution, with an average salary of $92,287 per year, or $44.4 per hour.

Data Analyst, Global Operations

Meta

Seattle, WA • On-site

$125K/yr

Full-time

Re-posted 2 days ago


Key responsibilities

  • Partner with operational, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions

  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta

  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics. As a data analyst in global operations, you’ll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale. You will partner with operational, data science, data engineering, and product teams globally to optimize processes, automate workflows, provide data-driven insights, and uplift the team’s proficiency in leveraging new technologies.
Data Analyst, Global Operations Responsibilities:
  • Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions
  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta
  • Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking
  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes
  • Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Minimum Qualifications:
  • 7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline-focused tech environments or consulting
  • Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience
  • Advanced proficiency in SQL, and experience with Python, for data analysis and automation
  • Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)
  • Track record of proactively using AI tools to drive productivity and innovation across projects and teams (bonus for championing AI adoption and education within teams)
  • Solid understanding of statistical analysis with practical application to real-world business problems
  • Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement

Preferred Qualifications:
  • Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Hands-on experience with AI/ML model development, deployment, and/or integration

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$125,000/year to $178,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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