Data Analytics Manager Jobs in Seattle, WA
Data Analytics Manager jobs in Seattle are concentrated in South Lake Union, the Central Business District, and the Eastside corridor, across technology, e-commerce, and healthcare sectors, with demand remaining strong across teams ranging from early analytics buildouts to enterprise data orgs. Employers actively hiring include Amazon, Amazon Web Services, and Deloitte. See the openings below and apply to the ones that match your experience.
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About us
AfterShip, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, AfterShip is a post-purchase SaaS company on a mission to build the world's leading automation platform for ecommerce merchants.
AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system - giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experience, and unlock incremental revenue at every post-purchase touchpoint.
AfterShip integrates seamlessly with eCommerce platforms including Shopify and TikTok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses—including Samsung, Gymshark, Mejuri, Dr. Squatch, and Alo Yoga—rely on AfterShip to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.
Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.
Your Mission:
We're looking for a Senior Marketing Data Analyst to turn complex data into actionable growth strategies. This role goes beyond reporting. It's about understanding customer behaviour, optimizing marketing spend, and improving performance across channels.
You will act as the analytical engine of the marketing team, translating data into insights that drive decision-making. You'll optimize campaign performance, improve customer acquisition cost (CAC), and maximize lifetime value (LTV), while owning the source of truth for marketing performance.
You'll work cross-functionally to drive impact across the business:
- Product Marketing Manager (PMM): Partner closely to assess product-market fit, analyze feature adoption, evaluate pricing, and measure go-to-market performance
- Marketing (Brand, Content, Social): Quantify top-of-funnel impact and connect brand efforts to conversion outcomes
- Sales/CRM: Support lead scoring and retention optimization
- Finance: Align marketing spend with revenue performance and LTV
You'll report to the Data Analyst Manager and be part of the Data Engineering pod. This role may require collaboration across global teams outside of standard working hours 2-3 times per week.
What You'll Do:
- Brand & Content Attribution: Work with the Marketing Team to build frameworks that measure the halo effect of brand campaigns and content marketing on organic growth and direct traffic.
- Funnel Optimization: Analyze the end-to-end customer journey—from the first touchpoint seen by the Marketing team to the final conversion event tracked by Product—to identify and fix leakage points.
- Audience Segmentation: Develop sophisticated customer segments based on behavioral data to help PMMs and Creative teams tailor their messaging for higher resonance.
- GTM & Launch Analytics: Partner with Product Marketing to define KPIs for new feature launches and track post-launch adoption rates to refine target personas.
- Data Infrastructure: Lead the initial setup and optimization of our marketing data warehouse. You will partner with engineering to ensure data from various sources (Ads, CRM, Product) is flowing, transformed, and ready for analysis.
- Holistic Reporting: Maintain a centralized "Marketing Source of Truth" dashboard that balances performance marketing (CAC/ROAS) with brand health and product engagement metrics.
Who We're Looking For:
- Experience: 7+ years in marketing analytics, growth analytics, or data science (preferably in a B2B SaaS or high-growth B2C environment).
- Toolbox: Proficiency in visualization tools (Tableau), web analytics platforms (GA4, Heap, or Amplitude), CRM system (HubSpot), and SQL.
- Statistical Foundation: A solid grasp of statistical concepts (regression, $p$-values, confidence intervals) and how they apply to marketing spend.
- The Entrepreneurial Builder: You thrive in "zero-to-one" environments. You aren't looking for a perfectly polished data stack; you're excited by the opportunity to roll up your sleeves, architect the data warehouse from the ground up, and define the metrics that will govern our future.
- A "High-Agency" Operator: When you see a gap in our data or a flaw in our tracking, you don't wait for a ticket to be assigned. You own the solution. You are comfortable navigating ambiguity and can pivot quickly as our business scales.
- The Full-Stack Thinker: You possess the rare ability to switch between "Builder Mode" (setting up pipelines, ETLs, and data schemas) and "Insight Mode" (advising PMMs on GTM strategy). You understand that great analysis is only possible on a foundation of clean, reliable data.
- Language Skills: Fluency in English (required), fluency in Mandarin a plus.
At AfterShip, we know great talent doesn't always fit every requirement. If you're passionate about our mission and believe you can make an impact, we encourage you to apply.
Why You Should Join Us:
- Great Place to Work Certified: We've been recognized for our inclusive, values-driven culture that celebrates diversity and collaboration.
- Innovative & Inclusive Culture: Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and collaboration. We're a passionate, global team of problem solvers who put egos aside to innovate together. We take immense pride in fostering a culture that's inclusive, which has allowed us to surround ourselves with the industry's most talented professionals.
- Ambitious Mission with Real Impact: Join us in transforming eCommerce by making buying and selling easier for everyone. It's one of the most dynamic spaces in tech, with limitless opportunities to innovate and grow.
- Thrive & Grow: There's no ceiling to what you can achieve or learn here. We're committed to empowering your career while advancing together as a company.
- Flexible Work Setup: We're a remote-first team, meaning by default that employees work from home or on a hybrid-flexible basis in our hub locations (i.e., Toronto, Austin, Barcelona). You're empowered to choose a work setup that works best for you and your team. With flexible hours depending on your time zone, you'll be able to have a schedule that fits your working style and the requirements of your role.
Perks:
- Competitive compensation
- Remote-first work setups
- Healthcare coverage offered from day 1
- Retirement plans including company match
- Unlimited PTO
- Annual learning & wellness benefit
- Monthly book perk
- Career progression & professional development
- In-office lunch and commuter benefits for those located in our hub locations
Salary range for this role: CAD $141,000 - $165,000
We are an equal opportunity employer and provide accommodations upon request throughout the recruitment process, in accordance with local legislation. Please let us know if you require any support, and we'll work with you to meet your needs.
We believe in hiring right over hiring fast. While timelines may vary, we're looking to fill this role as soon as possible.
Our hiring process uses AI to help with initial resume screening and to support interview note-taking. These tools help our team stay organized and fair, but all hiring decisions are made by people.
This job posting is for a new position.
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Find Data Analytics Manager JobsData Analytics Manager Job Market in Seattle
Who's Hiring
- Amazon65

- Amazon Web Services20

- Deloitte11

- Apple7

- TikTok7

Top Industries Hiring
- Technology & Software100
- Retail74
- E-Commerce & Online Marketplaces68
- Distribution & Wholesale19
- Consulting & Professional Services14
Data Analytics Manager Jobs in Seattle: Frequently Asked Questions
How do I get a data analytics manager job in Seattle?
Focus your search on Seattle's densest hiring clusters: technology and cloud infrastructure companies in South Lake Union, e-commerce and logistics firms on the Eastside, and health systems centered around First Hill and the broader medical corridor. Candidates who stand out typically combine hands-on experience with a BI or data platform stack commonly used in the Pacific Northwest tech ecosystem and can speak to cross-functional stakeholder work, since Seattle employers often expect managers to bridge engineering and business teams directly.
Which companies hire data analytics managers in Seattle?
Seattle data analytics manager roles are posted by Amazon, Amazon Web Services, and Deloitte and others right now, based on current listings on Migrate Mate as of June 2026. Seattle's hiring pool is especially broad across large-scale technology, retail, and health organizations that run dedicated data and intelligence teams.
Are there remote data analytics manager jobs in Seattle?
Yes, data analytics manager work is desk-based and tool-driven, making it well suited to remote and hybrid arrangements. About 23% of data analytics manager openings tied to Seattle are remote or hybrid as of June 2026, which is higher than many management roles. Strategy, reporting, and stakeholder alignment work tend to be the most remote-friendly components, while cross-team collaboration and direct report management often bring managers on-site at least part of the week.
How can I get a data analytics manager job in Seattle with little or no experience?
The most realistic entry path in Seattle is moving up from a senior analyst or analytics engineer role at a mid-size technology or retail company, where individual contributors frequently step into lead or manager responsibilities as teams scale. Seattle-area employers in e-commerce, healthtech, and SaaS regularly promote from within, so lateral moves into team lead positions within those orgs are common. Candidates strengthen their case by showing experience mentoring peers, owning a reporting domain end-to-end, and familiarity with the cloud-based data stacks that Seattle employers rely on most.
Which industries hire the most data analytics managers in Seattle?
The sectors hiring the most data analytics managers in Seattle are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of June 2026. Seattle's concentration of enterprise technology, large-scale retail operations, and a growing life sciences cluster means data analytics leadership is in demand across multiple verticals simultaneously, which keeps the local job market competitive and relatively active year-round.
Related Jobs in Washington
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