SEO Analyst

Overview

As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter SEO decisions across our ecosystem. You'll dive into traffic trends, user signals, and keyword performance, but you won't stop there. You'll connect the dots between visibility, user behavior, business goals, and team efforts.


Your insights will support our strategy team, guide our writers, and empower our developers and designers. You'll be our go-to for routine executive-level reporting, analysis of shifting search behavior, and identifying the actual impact of work done across our teams. You know that rankings are nice, but user experience, brand visibility, and business outcomes matter more.


This role sits at the intersection of marketing, product, and analytics. If you've ever caught yourself saying, "That number looks good, but is it real ?" you'll fit right in.


You'll be a traditional company employee. This is a full-time, 40-hour M-F position with company benefits. This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in Austin, TX, and Salt Lake City, UT.

Wage


$85,000 / year


Benefits

• 100% employer-paid medical, dental and vision for employees
• Annual review with raise option
• 22 days Paid Time Off accrued annually, and 4 holidays
  • After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want
  • The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day
• Paid Parental Leave
• Up to 6% company matching 401(k) with no vesting period
• Quarterly allowance
  • Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
• Open concept office with friendly coworkers
• Creative environment where you can make a difference
• No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it
• Trail Mix Bar - oh yeah

Responsibilities

• Monitor and interpret core metrics that reflect shifting user behavior, search trends, and AI-driven changes in visibility
• Build and deliver ongoing SEO performance reports for executive and stakeholder teams that are clear, honest, and grounded in what matters
• Identify attribution patterns and performance indicators that highlight the actual impact of content, development, and marketing work
• Investigate how people interact with LLMs and other AI tools and assess how our content impacts the information they return.
• Collaborate with data engineers to refine and validate tracking mechanisms and ensure clean, reliable data
• Help design experiments or A/B tests to improve user engagement
• Speak comfortably and clearly about the role of AI and branded search visibility in modern SEO
• Tell stories with data, no fluff, no overreach, just solid, actionable insights
• Recognize the difference between traffic volume and actual value, and guide others toward what matters
• Track and report on brand presence across AI summaries, search features, and evolving SERP types

Requirements

• 3+ years of experience in SEO, web analytics, or related digital marketing roles
• Fluency in tools like Google Analytics, Google Search Console, Ahrefs, and Screaming Frog
• Understands how to tie SEO performance to business outcomes and real-world results
• Strong communication skills and the ability to translate complex data into plain English insights for non-technical stakeholders
• Inquisitive and proactive in validating assumptions and finding the signal in the noise
• Experience creating dashboards or reporting templates for leadership-level visibility
• Experience working with or alongside data engineers or BI teams
• Comfortable analyzing branded search volume, user journey metrics, and AI visibility trends
• Strong interest in user behavior around LLMs and other AI tools, with an understanding of what influences their outputs
• Familiar with a variety of data tools like Tag Manager, Matomo, and BigQuery
• Ability to analyze data for attribution and performance insights across multiple marketing channels