Digital Marketing Analyst — Washington, United States

About RTyzE rCK2 HprES

RTyzE rCK2 HprES is a full-service ad agency rooted in Seattle, Washington. For more than 10 years, we’ve had the good fortune to work with some of the most iconic brands in the Northwest, along with national challenger brands looking to grow their market share in a big way.

We’re a dynamic team, and we’re looking for a bold new hire who loves data and leans into AI to find the stories hidden in it.

About the role

The Digital Marketing Analyst owns the data behind our client work, supports digital campaigns, and helps us build the AI tools and agents that make the whole team faster.

We’re looking for someone who already uses AI every day and likes building with it. You know how to string tools together into workflows, and you’re excited to build agents that take repetitive work off the team’s plate and surface smarter optimizations.

Location: Remote – WA state preferred

Salary range: $60,000–$70,000 per year ($28–$34 per hour)

Reports to: Digital Marketing Manager

How your time breaks down

• 40% Analytics and reporting

• 30% Digital campaign support

• 30% AI-assisted work and agent building, growing over time

Analytics and reporting (about 40%)

• Own recurring client reports end to end, including scheduled exports and automated reports, and deliver accurate final reports on time

• Build and maintain dashboards in Power BI

• Manage GA4 views and data sources

• Check data quality and flag issues before they reach a client

• Reconcile platform performance against CRM and closed-won outcomes, so reporting reflects real business results, not just platform numbers

• Analyze in-flight campaigns, experiments, and test results, and explain what the numbers mean in plain language

• Research market trends, consumer behavior, and competitor activity to inform client strategy

• Respond quickly to urgent requests or sudden performance shifts: diagnose what changed and recommend how to adapt

• Partner with creative and account teams on special projects that need analytical input

• Stay on top of changes in the digital landscape, including platform updates, GEO (generative engine optimization), and shifts in user behavior

Digital campaign support (about 30%)

• Work with the Digital Marketing Manager to define campaign objectives and measurement frameworks, build proposals, and vet vendors

• Support campaign setup and QA across paid media, including Meta and Google

• Optimize campaigns regularly, and monitor pacing and budgets

• Track creative tests and pull insights that shape what the team tests next

AI-assisted work and agent building (about 30%, growing over time)

• Use AI daily to speed up analysis, reporting, and campaign support, such as summarizing performance, spotting trends, and drafting insights

• Design and build AI workflows and agents that automate recurring reporting, QA, and pacing checks

• Build agents that suggest campaign optimizations, such as budget shifts, audience and bidding changes, creative refreshes, or landing-page tests

• Connect AI tools to GA4, ad platforms, Sheets, and dashboards through APIs and integrations

• Keep a human in the loop: make sure every AI or agent recommendation goes through the proper review and approval before it’s implemented

• Document how each workflow and agent works, what data it uses, and where its recommendations come from, so the work is repeatable and auditable

• Find new places where AI can save the team time, and share what works

Required

• 1–4 years of experience in marketing analytics or a similar role

• Bachelor’s degree in marketing, business, or a related field, or equivalent experience

• Daily, hands-on AI use for analysis, reporting, and campaign work, plus good judgment about checking AI output before it reaches a client

• Proven experience building AI-powered workflows or agents, whether at work or in personal projects, using tools like Claude Code, n8n, Zapier, Make, Cursor, or similar

• Strong working knowledge of GA4

• Experience building dashboards in Power BI (including DAX), or strong Sheets/Excel skills and a willingness to learn and own Power BI

• Working knowledge of paid media, at least Meta and Google, so you can QA and interpret campaigns, not just chart them

• Detail-oriented and reliable on deadlines

• Able to explain data in plain language to teammates and clients

Nice to have

• Experience connecting AI to ad platform or analytics APIs (Meta, Google Ads, GA4)

• Light scripting (Python or JavaScript)

• SQL

• Experience reconciling ad platform data with CRM or sales data

• Hands-on experience building campaigns in Meta Ads or Google Ads

• Experience with funnel or landing page analysis and testing

What success looks like in 90 days

• Every recurring client report goes out accurately and on time, and all dashboards are documented and current

• Campaign QA and pacing checks follow a clear, shared process the whole team can use

• At least two AI workflows or agents are in regular use, such as an automated weekly performance summary and an optimization-suggestion agent, with proper review and approval before any change goes live

• You know each active client’s goals, data sources, and reporting needs

When you apply

In your cover letter or application message, tell us about an AI workflow or agent you’ve built. What did it do, what tools did you use, and what was the outcome?

Benefits

• Medical, dental, vision, and prescription coverage, with dependent coverage available at extra cost. Coverage starts on the first of the month after 60 days of employment.

• Basic life insurance with the premium paid by HHM, plus an optional buy-up for you and your dependents. Coverage starts on the first of the month after 60 days of employment.

• 401(k) plan with an employer match. Automatic enrollment at 3% pre-tax after two months of service. Change your contribution or opt out at any time.