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Analytics Jobs in Kent, WA (NOW HIRING)

Evergreen Health

Analytics Architect

Kirkland, WA · On-site

$145K - $233K/yr

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across Epic and non-Epic environments. In this role, you'll partner with clinical, operational, and IT ...

Hasbro

Director Analytics WOTC

Renton, WA · Hybrid

As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the ...

Hasbro

Director Analytics WOTC

Renton, WA · On-site

As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the ...

Uw

Director of Analytics

Seattle, WA · On-site

UW MEDICINE IT SERVICES has an outstanding job opportunity for a Director of Analytics . WORK SCHEDULE * 100% FTE - 40 hours per week * Day Shift - UW MEDICINE ITS SERVICES CORE HOURS ARE 08:00 - 17 ...

Elevance Health

Advanced Analytics Consultant

Seattle, WA · On-site

$111K - $200K/yr

Advanced Analytics Consultant Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support productivity ...

Chewy

Healthcare Analytics Manager

Bellevue, WA

$100K - $176K/yr

We are looking for a Healthcare Analytics Manager to join our Healthcare Analytics Team. In this role, you will own end-to-end analytics projects for Chewy's Pharmacy, Compounding, and Equine/Farm ...

New

Cascade PBS

Data and Analytics Manager

Seattle, WA · On-site

$120K - $135K/yr

The Data and Analytics Manager works closely with critical business stakeholders within Membership, Marketing and Communications, Product teams as well as closely partners across all other Cascade ...

Cascade PBS

Data and Analytics Manager

Seattle, WA

$120K - $135K/yr

The Data and Analytics Manager works closely with critical business stakeholders within Membership, Marketing and Communications, Product teams as well as closely partners across all other Cascade ...

Stanley 1913

Manager, Marketing Analytics

Seattle, WA · On-site

Position Summary The Manager, Marketing Analytics will build the marketing analytics function within the Stanley 1913 organization. This role includes owning frameworks, narratives, and reporting ...

Ra

Marketing Analytics Manager

Seattle, WA · On-site

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

Stanley 1913

Manager, Marketing Analytics

Seattle, WA · On-site

Position Summary The Manager, Marketing Analytics will build the marketing analytics function within the Stanley 1913 organization. This role includes owning frameworks, narratives, and reporting ...

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Showing results 1-20

All JobsAnalytics JobsAnalytics Jobs in Kent, WA

Analytics information

See Kent, WA salary details

$72.8K

$141.5K

$202.1K

How much do analytics jobs pay per year?

As of Aug 2, 2026, the average yearly pay for analytics in Kent, WA is $141,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $168,200.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What are the key skills and qualifications needed to thrive in Analytics, and why are they important?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What job categories do people searching Analytics jobs in Kent, WA look for? The top searched job categories for Analytics jobs in Kent, WA are:
What cities near Kent, WA are hiring for Analytics jobs? Cities near Kent, WA with the most Analytics job openings:
Analytics jobs near you
Infographic showing various Analytics job openings in Kent, WA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $141,479 per year, or $68 per hour.

Analytics Manager

Mynt Performance Marketing LLC

Home, WA • Remote

$160K/yr

Full-time

Posted 15 days ago

Job description

The Manager, Analytics is responsible for leading measurement and analytics initiatives for a portfolio of small to mid-sized client accounts. This role serves as the primary analytics owner, translating business objectives into measurement strategies, executing complex analyses, and delivering actionable insights that improve media performance across brand-focused advertising channels in strong collaboration with Client Services teams.

The ideal candidate possesses deep expertise in media measurement across Linear TV, Connected TV (CTV), streaming audio, podcasts, terrestrial radio, and satellite radio. They are equally comfortable designing measurement frameworks, executing sophisticated analyses, interpreting results, and collaborating with cross-functional teams to deliver high-quality analytics solutions.

This is a highly autonomous individual contributor role. While the position does not include direct people management responsibilities, it requires manager-level ownership of analytics workstreams, technical decision-making, and execution leadership. The successful candidate will leverage AI tools to accelerate analysis and improve efficiency while maintaining responsibility for the quality, rigor, and accuracy of all analytical deliverables.

What Makes a Good Fit

Mynt is built for driven intrapreneurs who treat their work like they own it. We move fast, hold a high bar, and push each other forward with genuine support and positivity, never pressure. If you're ambitious, growth-minded, and energized by a team that wins together, you'll thrive here.

About Mynt Agency

Mynt helps growth brands turn video and audio into measurable acquisition channels. We plan, buy, and measure across CTV, linear TV, YouTube, podcasts, streaming audio, and radio, with a specific focus on using premium media more efficiently than traditional agencies and proving the business impact through attribution, lift testing, and incrementality. We work with amazing brands including Oats Overnight, Grüns, Liquid Death, Prenuvo, and many more.

The broader Mynt story is simple: we have generated $3bn+ in incremental client revenue, have 5.5+ years of average client tenure, and average 4x ROAS on evergreen campaigns. We are not a generic media agency. We focus on helping brands find solutions for incremental scale, especially when search and social are becoming expensive, saturated, or insufficient for the next stage of growth.

What You'll Do

Analytics Execution

  • Lead end-to-end execution of marketing analytics projects from business question through final recommendations.

  • Design and execute measurement approaches appropriate for each campaign, objective, and available data.

  • Analyze media performance across Linear TV, CTV, streaming audio, podcasts, terrestrial radio, and satellite radio.

  • Perform campaign measurement using methodologies including attribution, incrementality, lift studies, audience analysis, reach and frequency analysis, and cross-channel performance evaluation.

  • Validate data quality, identify anomalies, troubleshoot issues, and ensure analytical accuracy.

  • Translate complex analytical findings into clear business recommendations for technical and non-technical audiences.

  • Leverage AI to increase speed and scale while maintaining analytical rigor.

  • Build trusted partnerships across Client Services, Media, Data Engineering, and Analytics teams.

Execution Leadership

  • Own analytics workstreams across multiple concurrent client engagements.

  • Coordinate with Client Services, Media Planning, Media Activation, Data Engineering, and external measurement partners to ensure successful project delivery.

  • Manage project priorities, timelines, risks, and dependencies.

  • Review analytical outputs for completeness, accuracy, and methodological soundness before delivery.

  • Drive continuous improvement in analytics processes through automation and AI-assisted workflows.

Account Analytics Strategy

  • Develop measurement strategies aligned to client objectives and media plans.

  • Recommend appropriate methodologies based on business goals, data availability, and channel characteristics.

  • Identify opportunities to improve measurement frameworks, reporting capabilities, and analytical processes.

  • Drive consistency in measurement standards and analytical best practices across assigned accounts.

Qualifications:

  • 7+ years of experience in marketing analytics, media measurement, advertising analytics, or a related field, including demonstrated expertise measuring Linear TV, Connected TV (CTV), streaming audio, podcasts, and related media channels

  • Strong understanding of media measurement methodologies including attribution, incrementality, lift measurement, reach and frequency, audience measurement, and cross-channel analytics.

  • Experience designing measurement frameworks that align media investment with business outcomes.

  • Experience working with campaign exposure data, conversion data, audience data, and media performance datasets.

  • Advanced SQL proficiency for data extraction, validation, and analysis.

  • Experience using Tableau or comparable business intelligence platforms.

  • Understanding of modern marketing measurement concepts including identity resolution, clean rooms, privacy-safe measurement, and data governance.

  • Ability to independently manage multiple priorities in a fast-paced agency environment.

  • Familiarity with Marketing Mix Modeling (MMM), media mix optimization, geo-based experimentation, and causal measurement techniques.

  • Working knowledge of Python or R for advanced analytics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.