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Analytics Manager Jobs in Seattle, WA (NOW HIRING)

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 ...

PEMCO has a dynamic and challenging opportunity for an Underwriting Analytics Manager to join our community. This position is responsible for working directly with the Underwriting Operations team to ...

Data Analytics Manager

Renton, WA · On-site

$125K - $188K/yr

Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines.

Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines.

Chewy is hiring a Pricing Analytics Manager to own core Pricing programs that improve customer trust, competitive price perception, pricing consistency, and business decision-making. The ideal ...

Analysis & Deep Dives: Conduct deep-dive analyses for Product Managers, Sales, and Finance teams Today, the team uses a proprietary analytics platform with governed SOPs, stored context, and pre ...

Analysis & Deep Dives: Conduct deep-dive analyses for Product Managers, Sales, and Finance teams Today, the team uses a proprietary analytics platform with governed SOPs, stored context, and pre ...

Conduct deep-dive analyses for Product Managers, Sales, and Finance teams. Today, the team uses a proprietary analytics platform with governed SOPs, stored context, and pre-built queries - enabling ...

We are seeking a Manager of Analytics and Strategy to own trusted product reporting, metric governance, and the semantic layer that powers business decision‑making. This role is highly hands‑on ...

We're looking for a Manager, Data Analytics to lead our analytics team and drive data-informed decision-making across our commercial, sales, and go-to-market functions. You'll lead a team of analysts ...

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Showing results 1-20

Analytics Manager information

See Seattle, WA salary details

$73.4K

$142.7K

$203.8K

How much do analytics manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for analytics manager in Seattle, WA is $142,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $169,700.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

Is data analytics a high paying job?

Data analytics roles, including Analytics Managers, tend to offer high salaries compared to many other positions, especially with experience and advanced skills in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but generally, analytics managers earn above average salaries in the job market.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median salary of around $100,000 to $130,000 per year, depending on experience, industry, and location. Senior roles or those with specialized skills in data tools and leadership may earn higher compensation, often exceeding $150,000 annually.
What are the most commonly searched types of Analytics jobs in Seattle, WA? The most popular types of Analytics jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Analytics Manager jobs? Cities near Seattle, WA with the most Analytics Manager job openings:
Infographic showing various Analytics Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $142,705 per year, or $68.6 per hour.

Analytics Manager

Mynt Performance Marketing LLC

Home, WA • Remote

$160K/yr

Full-time

Posted 23 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.