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Data Analyst Jobs in Renton, WA (NOW HIRING)

Microsoft

Paid Media Data Analyst

Redmond, WA · On-site

The Media Data Science and Analytics team within E&E enables data-driven decision making by providing data products and insights to measure marketing's performance and impact, understand the customer ...

Amazon

Data Analyst, MFN RCX

Bellevue, WA · On-site

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

Amazon

Data Analyst, Returns SX

Bellevue, WA

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

SRI Tech solutions Inc

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 ...

SRI Tech solutions Inc

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 ...

Prime Therapeutics

Health Data Analyst - Remote

Home, WA · Remote

$66K - $106K/yr

Job Posting Title Health Data Analyst - Remote The Health Data Analyst provides information, analyses, and consultation to internal and external stakeholders. This position assesses the performance ...

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Data Analyst information

See Renton, WA salary details

$38.2K

$93K

$153K

How much do data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for 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 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.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

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 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 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 top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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.
More about Data Analyst jobs
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 Data Analyst jobs in Renton, WA look for? The top searched job categories for Data Analyst jobs in Renton, WA are:
What cities near Renton, WA are hiring for Data Analyst jobs? Cities near Renton, WA with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Renton, WA as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $93,335 per year, or $44.9 per hour.

Paid Media Data Analyst

Microsoft

Redmond, WA • On-site

Full-time

Posted 4 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies

Job description

Overview
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
The Global Marketing Engines and Experiences (E&E) team within Microsoft is responsible for delivering integrated marketing experiences for Microsoft by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans.
The Media Data Science and Analytics team within E&E enables data-driven decision making by providing data products and insights to measure marketing's performance and impact, understand the customer experience, and develop systems of learning for marketers.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
About You
As a Paid Media Data Analyst on the Media Data Science and Analytics team, you will play a critical role in establishing and promoting measurement frameworks that create better investment decision making. This will include developing solutions that are reusable, readily discoverable by decision makers, and self-service oriented, all while driving meaningful interpretation of data and supporting media optimization.
The optimal candidate thrives in fast-paced environments, demonstrates comfort with ambiguity, and collaborates effectively across teams and functional boundaries. Curiosity, a bias for action, and the ability to balance business context with technical expertise are essential.
In this role, you will support the rhythm of business by providing actionable recommendations to paid media stakeholders based on rigorous analysis and clear insights. You will leverage analytical techniques to develop scalable, efficient, and impactful data products while also diving deep into the details to uncover the story behind the data. You will bring sharp analytical thinking, strong communication skills, and the confidence to engage with executives and stakeholders across the business.
Key focus areas may include: campaign performance measurement, creative and audience testing, signal quality, perception measurement, survey design attribution and incrementality interpretation, funnel diagnostics, dashboard development, and translating learning agenda questions into repeatable analytical approaches.
Responsibilities
Improvement and Efficiency
  • Identify and promote methods that enhance efficiency in analytics and reporting.
  • Ensure solutions are reusable, easily discoverable, and self-service oriented.
  • Drive meaningful data interpretation to inform paid media business decisions.
  • Recommend and socialize optimal methods for operationalizing, sharing, and scaling insights.
  • Share knowledge and practical rationale for transitioning ad-hoc analyses to regular reporting features.
  • Share domain knowledge to create clarity and ensure readiness to leverage data and insights effectively.
  • Evaluate the viability of automated methods for data collection, reporting, and analysis.

Model Evaluation
  • Understand the relationship between analytical models or experiment designs and business objectives.
  • Establish clear linkage between generated models or experiment designs and desired business outcomes.
  • Assess the degree to which models meet business objectives and address gaps.
  • Ensure alignment on definitions and standards across stakeholders.
  • Define, design, and promote appropriate feedback and evaluation methods or experiment designs.
  • Present results and findings to stakeholders.

Orchestration and Collaboration
  • Leverage working relationships within and across teams to ensure alignment and quality execution.
  • Drive the adoption of recommended data sources and analysis practices.
  • Proactively engage stakeholders to identify and act on opportunities to leverage data and resources.
  • Consult across teams on decisions related to data sourcing, analyses, and interpretation of results.

Reporting and Sharing Results
  • Share insights and analytical experience through various means, including dashboards, reports, and visualizations.
  • Synthesize and simplify details across analyses to highlight relevant findings.
  • Identify opportunities to improve the efficiency of insights reporting techniques.
  • Guide others and establish partnerships with stakeholders to ensure results are accessible and relevant.

Dashboard Builds
  • Develop and own Power BI dashboards to understand end-to-end campaign performance.

Qualifications
Required/minimum qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

Additional or preferred qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
  • Experience with perception measurement and survey design.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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