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Data Analyst Jobs in Renton, WA (NOW HIRING)

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. Data Analyst/BIE

Seattle, WA

$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 ...

The Spotfire Clinical Data Analyst will specialize in the installation, maintenance, and development of clinical data visualizations utilizing Spotfire. This role emphasizes creating and enhancing ...

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 ...

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 ...

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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 Jul 16, 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.

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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
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:
Infographic showing various Data Analyst job openings in Renton, WA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $92,956 per year, or $44.7 per hour.
Sr Health Data Analyst

$97K - $123K/yr

Full-time

Posted 26 days ago


Job description

Company Description

SRI Tech is an IT staffing and solutions firm that serves clients with a full range of IT services that we deliver effectively and efficiently. Ranked in the top 20% of the fastest growing companies in the US by Inc. 5000 - SRI Tech is fast growing & dynamic firm maintaining its speed to be one of the leaders in serving IT. 



Job Description

Hi,

Please find the below requirement and send me your updated resume.

Position: Sr. Health Data Analyst

Location: Seattle, WA

Job Type: Full Time

Description:

The Sr. Health Data Analyst will assist in the production of performance reports, specialized analytics and enhancements to the client reporting system. 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 projects for which continuous planning, oversight and management is essential. This position will include direct work with industry experts among health care purchasers, providers, and health plans in the in state of Washington. The position will also encompass diverse tasks and responsibilities, from highly technical matters to regional business concerns that require an understanding of the complexities of the heath care sector.

Roles and Responsibilities:

Play a key role in the planning, development and production of performance reports addressing health quality, utilization and cost within the state. Specific activities include:

o Develop SQL queries and datasets required to produce compelling and actionable analytic results

o Produce and analyze performance results for public reports and work with others to draft text that addresses what is measured

o Develop project timelines and manage key portions of the project to assure timely completion

o Identify technical and data issues that arise and work with project team

o Work with the project team to continually improve processes, including the addition of measures and data sources

Organize and track data supplier and medical group engagement activities related to the performance reports.

Develop technical documents related to performance reports including technical specifications, issue briefs, write-ups of technical items for committee/Board consideration.

Provide consultation on the availability and use of data in support of third party data requests.

As needed, participate in meetings and workgroups for local, regional and national initiatives on behalf of the client.

Qualifications:

Candidates should have a Masters in Health Informatics, Health Administration, Public Health, Health Policy or equivalent education and work experience. Significant industry-relevant and/or research experience using health administrative claim data is required. Additional required qualifications include the following:

Direct experience measuring and reporting on quality and/or cost within the health care system using administrative claim data

Very strong SQL programming experience, including knowledge and understanding of database technology and data modeling

Solid working knowledge of HEDIS, NCQA, AHRQ or similar measure specifications

Direct working experience with Tableau, SQL Server, SSRS, SSAS, Excel. Further experience with R or other statistical tools highly desirable

Strong analytic and quantitative aptitude, including an understanding of statistics

Demonstrated ability to work effectively on multiple complex projects simultaneously, manage multiple deadlines, and to anticipate and coordinate resources

Experience creating compelling and meaningful end-user reports displaying health quality and cost information for a wide range of audiences, including providers, consumers, health plans and purchasers

Ability to present information on performance measurement topics to audiences with varying degrees of familiarity and understanding of the topics

Self-directed; a self-starter who can work with minimal supervision

Enthusiastic team player with strong inter-personal skills and poise to work directly with senior leaders

Thanks and Best Regards,

Harika Kollu

IT Recruiter

SRI Tech Solutions Inc.

(T) (813) 423-6500 Ext 151, (M) 206-316-9001 (F) 813.423.6520

Additional Information

All your information will be kept confidential according to EEO guidelines.