Monarch · 8 hours ago
Digital Marketing Operations Analyst
San Francisco Bay Area
Full-time
Hybrid
Mid, Senior Level
$95K/yr - $160K/yr
4+ years expMonarch is a stealth-stage team focused on transforming modern marketing organizations through innovative software solutions. They are seeking a Digital Marketing Operations Analyst to blend business analysis with marketing operations expertise, working closely with senior stakeholders to identify automation opportunities and streamline execution across various digital channels.
Computer Software
Responsibilities
Partner with the digital marketing team at a top-tier, $1Bn+ upper mid-market company to understand how their day-to-day marketing actually gets done across channels, teams, and tools. Embed directly into their operating rhythm, shadowing workflows and collecting dense, structured observational data through Scribe AI, transcription tools, screen captures, and detailed field notes — building the raw evidence base our team needs to identify automation opportunities and architect what gets built next
Sit alongside client marketing associates and observe execution in practice: how campaigns launch, how reports get pulled, how approvals bottleneck, how data moves (or doesn't) between platforms
Document workflows at a practical, granular level — capturing where time, approvals, handoffs, manual steps, and tool gaps create friction or introduce error
Map tooling and data touchpoints across the client's marketing ecosystem (ads platforms, CRM, analytics, lifecycle tools, CMS, attribution systems) at a high level, without needing to be an engineer
Translate observations into clear, structured written deliverables: process maps, workflow diagrams, gap analyses, and prioritized opportunity lists
Write crisp, build-ready requirements that engineering can act on — with defined inputs, outputs, edge cases, dependencies, and acceptance criteria
Support prioritization decisions by framing tradeoffs across impact, speed, confidence, cost, and downstream dependencies
Define what 'success' looks like for every operational improvement: time saved, faster output, fewer revisions, cleaner reporting, tighter feedback loops
Collect, organize, and synthesize large volumes of digital marketing operational data from across channels and platforms
Transform raw operational data into clear visualizations, interactive dashboards, and executive-ready reports that surface what matters and suppress what doesn't
Establish KPI and metric clarity for clients: what's being measured, what should be measured, what's trusted, and what's misleading
Leverage your own digital marketing expertise to identify things clients should be doing but aren't doing at all — poor strategy implementation, missed channels, underutilized platform features, absent measurement frameworks, untapped automation opportunities
Help create repeatable playbooks for how we capture workflows, synthesize findings, and convert them into build-ready specs and product roadmap input for new automation tools
Work fluidly across the full stakeholder spectrum: executive team, digital marketing leadership, channel specialists, software engineers, project managers, and client-side operators
Facilitate alignment between what the business needs, what the product can do, and what engineering should build next
Qualification
Required
4–7+ years in Marketing Operations, Business Analysis, MarTech product development, Growth Ops, RevOps, Strategy Ops, or Performance Marketing Analytics
Very strong working understanding of all of the following digital marketing channels — not just familiarity, but operational fluency in how campaigns are built, managed, measured, and optimized: PPC (Google Ads, Microsoft Ads — Search, Shopping, Performance Max), Lifecycle Marketing (Email + SMS — platforms like Klaviyo, HubSpot, Iterable, Braze), Meta Ads Management (Facebook + Instagram — campaign structures, audiences, creative workflows, reporting), AEO / GEO (Answer Engine Optimization / Generative Engine Optimization — how brands earn visibility in AI-generated answers across ChatGPT, Perplexity, Google AI Overviews, etc.), SEO (Technical, on-page, content strategy, and performance measurement), Reddit (Paid and organic community-based marketing strategies)
Strong analytical skills and process-oriented thinking. You naturally decompose complex work into steps, dependencies, decision points, and measurable outcomes
Comfortable operating in ambiguity and moving fast with imperfect information. You don't wait for perfect inputs — you build a working picture and iterate
Solid understanding of the modern marketing technology ecosystem — ads platforms, analytics suites, CRM, lifecycle tools, CMS, attribution, CDPs, and how data flows (or fails to flow) between them
Excellent writing and synthesis skills — clear, structured, executive-ready. You can collect large volumes of operational data across channels and distill them into visualizations, interactive reports, and narrative summaries that drive decisions
You work effectively with humans across every level — executive teams, digital marketing heads, channel specialists, engineers, and project managers. You communicate with clarity and adapt your register to the audience
Requirements writing: clear inputs → outputs, edge cases, dependencies, and acceptance criteria
Strong data visualization skills, transforming raw collected data into actionable insights via data visualizations, interactive reports, dashboards, etc
Process mapping and operational diagnostics across multi-channel marketing environments
KPI and metric clarity: knowing what matters, what doesn't, what's trusted, and what's gamed
Stakeholder interviewing, empathetic listening, and cross-functional communication
High ownership, low ego, and strong independent judgment
Ability to move between strategic thinking and tactical detail without losing either
Benefits
Full coverage — healthcare
401(k)
Life insurance
And more
Company
Monarch
Agentic smart tech stealth company
2-10 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase