Senior Marketing Operations Analyst

US
- Portland / US
- Remote Divisions – Marketing /Full-Time /Hybrid Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc.

5000 list of fastest-growing American companies since 2008.About the role Smarsh is looking for a Senior Marketing Analyst to build the data foundation that marketing and go-to-market (GTM) teams run on — and that our AI tools will increasingly depend on. AI assistants and agents can only answer revenue questions reliably when the data model beneath them is clean, governed, and well defined.

This role owns that layer for marketing: from source-system connectors and Snowflake, through dbt models and a governed semantic layer, to the dashboards, analysis, and AI-driven insight that leadership uses to make decisions.

You'll set the measurement and data roadmap, not just execute against it. You'll partner with Marketing Operations, Demand Generation, Sales/Revenue Operations, Customer Success, and IT/Data Architecture, and you'll be a trusted analytical partner to marketing and GTM leadership on planning, pipeline, and growth strategy.

How will you contribute?

AI-ready data foundation

Design and build an AI-ready data foundation for marketing and GTM: governed dbt models and a semantic layer (e.g., dbt Semantic Layer, LookML, Omni) with consistent metric definitions that both people and AI tools can query.

Prioritize foundation domains in partnership with Rev Ops and IT — starting with marketing performance and attribution, and connecting to pipeline, account hierarchy, and customer retention data.

Build validation and testing frameworks (data tests, reconciliation checks, and accuracy evaluation of AI-generated answers) so AI assistants and agents return answers leadership can trust.

Partner with Marketing Operations and IT to deploy and improve AI tools (e.g., Claude, BI-native AI agents) that answer recurring marketing and pipeline questions in a self-serve way.

Data architecture & engineering

Own the marketing data architecture end to end: source-system connectors, ingestion into Snowflake, transformation logic, orchestration, and curated data models.

Build and maintain reliable pipelines (e.g., Salesforce, Marketo, Marketo Measure/Bizible, ABM, Google/Linked In/Bing Ads, sales engagement platforms) using ELT and orchestration tooling such as Fivetran and Airflow, with monitoring and documented SLAs.Model account hierarchies and lead-to-account matching so marketing engagement rolls up correctly to accounts, buying groups, and opportunities.

Measurement, attribution & analytics

Own the design, governance, and evolution of marketing attribution (W-Shaped, Custom Model, and account-level influence), including documenting assumptions and limitations.

Lead ABM measurement: account engagement scoring, buying-group coverage, intent-to-pipeline conversion, and target-account progression.

Go beyond descriptive reporting — apply cohort analysis, funnel velocity, incrementality/test-and-control design, and forecasting to answer "what's working, and what should we do next?"Analyze campaign and channel performance (organic search, paid search, paid social/ABM, display, email, events, field) and deliver prioritized recommendations on budget and program mix.

Strategy, reporting & stakeholder…