--- title: 'Senior Marketing Operations Analyst at Smarsh' canonical: 'https://feeny.ai/job/senior-marketing-operations-analyst-smarsh-portland-qepsp3he33s7' type: 'job' last_seen: '2026-10-28' --- # Senior Marketing Operations Analyst at Smarsh - **Company:** Smarsh - **Location:** Portland, United States - **Compensation:** $106k–$141k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-19 - **Last confirmed live:** 2026-10-28 - **Apply:** https://jobs.lever.co/smarsh/19d3e43a-3a2c-4dcf-a0f6-1ee83491a303 ## Job description 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 RevOps 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/LinkedIn/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 leadership - Partner with marketing and GTM leadership on annual planning, pipeline targets and coverage, growth strategy, and operating cadences, bringing the analysis that grounds those decisions. - Build and own executive-grade dashboards (e.g., Power BI, Looker, Tableau, Omni) reconciled against Salesforce and finance data, and own the analytics behind monthly/quarterly business reviews and QBRs. - Define and govern a single set of marketing metric definitions (MQL/MQA, SAL, pipeline sourced vs. influenced, CAC, ROI) and drive adoption across Marketing, Sales, and Customer Success. - Set and maintain the marketing analytics roadmap: prioritize requests, balance ad hoc work against foundational builds, and communicate trade-offs. Data quality, governance & enablement - Establish data quality standards and automated checks across CRM, marketing automation, and the warehouse; fix root causes rather than patching symptoms. - Ensure marketing data and AI use align with Smarsh data privacy, security, and governance requirements in partnership with Legal, Security, and IT. - Mentor analysts and Marketing Operations teammates on SQL, dbt, data modeling, and responsible use of AI in analytics. What will you bring? - 5+ years of experience in GTM, marketing, or revenue operations analytics, or business intelligence, ideally in B2B SaaS or technology. - Advanced SQL and hands-on experience with Snowflake or a comparable cloud data warehouse (e.g., BigQuery, Redshift, Databricks), including designing data models, not just querying them. - Hands-on dbt experience building production-grade, tested, documented models. - Experience building or governing a semantic or metrics layer (e.g., dbt Semantic Layer, LookML, Omni, or a BI-native equivalent). - Experience with ELT and orchestration tooling (e.g., Fivetran, Airflow, or similar). - Deep working knowledge of Salesforce data structures (leads, contacts, accounts, opportunities, campaigns, campaign members) and Marketo or a comparable marketing automation platform. - Expert BI skills in at least one major platform (e.g., Power BI, Looker, Tableau, Omni, Hex), including governed, self-serve dashboard design. - Proven experience designing and governing multi-touch attribution and ABM reporting, and explaining methodology and its limits to non-technical executives. - Practical, hands-on use of AI tools (e.g., Claude, Claude Code) in analytics work, and a clear point of view on what makes data AI-ready. - Track record of owning an analytics roadmap and influencing senior stakeholders with data. - Excellent written and verbal communication; able to turn complex analysis into a concise business narrative. Bonus skills & experience - Experience building or evaluating AI agents or LLM-based assistants that answer business questions over a governed data model, including accuracy testing. - Python or R for statistical analysis, automation, or modeling (e.g., forecasting, propensity, marketing mix or incrementality analysis). - Experience with Marketo Measure (Bizible) at an administrator or model-design level. - Familiarity with the broader GTM data ecosystem: sales engagement and conversation intelligence (e.g., Salesloft, Outreach, Gong), data enrichment and hygiene (e.g., Clay, RingLead), ABM/intent platforms, and product analytics (e.g., Heap, Amplitude). - Experience supporting annual planning, territory design, pipeline coverage modeling, or retention KPIs. - Experience in a regulated industry (financial services, healthcare, or similar) where data accuracy and auditability are especially important. - Bachelor's degree in Analytics, Statistics, Computer Science, Business, Marketing, or a related field, or equivalent practical experience. ## About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like. ## About Smarsh ## Company Overview - **One-liner**: Smarsh is a global leader in communications data and intelligence, providing cloud-native, AI-powered archiving, capture, and supervision solutions to help regulated organizations manage compliance risk. - **Entity Type**: Private (backed by K1 Investment Management) - **Headquarters**: Portland, Oregon, United States - **Founded**: 2002 - **Founders**: Stephen Marsh ## Core Business - **Primary industry/industries**: RegTech (Regulatory Technology), Enterprise Compliance, Communications Archiving & Surveillance - **Target customers**: B2B; primarily large financial institutions (top global banks, insurers, investment firms), government agencies, and other highly regulated enterprises. - **Mission or purpose statement**: To help customers use the latest communication, AI, and collaboration tools while minimizing compliance risk, transforming required communications data into business intelligence. ## Products & Services - **Communications Capture**: Captures data from over 80 communication channels including email, mobile, voice, video, chat, and AI tools. - **Regulatory Archiving**: Provides secure, scalable archiving on-premise or in the cloud to meet SEC, FINRA, and global regulatory requirements. - **Communications Surveillance**: AI-powered risk detection and review processes to uncover risks and act before they escalate. - **eDiscovery**: Tools for searching and reviewing archived communications data for legal and regulatory discovery. - **Call Recording and Analytics**: Captures and analyzes voice communications for compliance and insight. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company). - **Key Metric**: Total Funding of $258.6M across 5 rounds; Annual Revenue of $201.2M. - **Notable Investors/Partners**: Parent company is K1 Investment Management. Serves over 6,500 customers, including top global banks. - **Growth Signals**: Named a 2025 Gartner® Magic Quadrant™ Leader for Digital Communications Governance and Archiving Solutions. Employee headcount of 943 people, growing 6.0% year-over-year. Expanding AI and API capabilities. ## Competitive Advantages - **First-mover in cloud and AI**: Has shaped the future of communications data intelligence for regulated industries since 2002. - **Breadth of coverage**: Captures more than 80 communication channels, providing a comprehensive compliance solution. - **AI-powered intelligence**: Transforms compliance data from a checkbox into a strategic advantage with risk detection and business insights. - **Deep expertise**: Over 1,000 employees dedicated to customers, with leadership possessing deep experience in financial services, regulatory technology, and enterprise-scale AI. ## Strategic Focus - **AI and Platform Expansion**: Evolving AI and expanding APIs to deliver smarter compliance and greater control over regulated communications data. - **Agentic & Platform Development**: Actively hiring for roles in "Agentic & Platform" and "Python + AI Platform," indicating a focus on next-generation AI agents and platform capabilities. - **Customer Growth**: Targeting enterprise accounts, including federal (DoW) and financial services sectors, with roles like "Enterprise Account Executive, Federal." ## Why Work Here - **Culture**: Emphasizes collaboration, innovation, and a "One Smarsh" community. Inclusion is embedded in guiding principles with a commitment to equity and empowering every voice. - **Remote/Hybrid/Office**: Offers flexible work arrangements to manage what matters most, both in and out of work. Has 11 locations globally with a workforce distributed across 14 countries. - **Notable Perks**: - **Flexible PTO**: "Take-what-you-need" time off policy. - **Sabbatical**: A four-week sabbatical after six years of employment. - **Wellness Program**: Monthly reimbursement for fitness, mindfulness, and wellness expenses. - **Parental Leave**: Paid leave to welcome new family members. - **Retirement Savings**: Employer match that vests immediately from day one. - **Commuter Benefits**: Monthly reimbursement for transit, biking, or parking. - **Community Impact**: Paid time off to volunteer through the "Full Circle" program. - **Employee Assistance Program (EAP)**: Free and confidential support for personal or work-related challenges. - **Career Growth**: "Scaled for career growth, stability you can count on." Opportunities to develop alongside global experts in AI, data science, and engineering. ## Sources 1. [smarsh.com - Careers](https://www.smarsh.com/careers/) 2. [smarsh.com - About Us](https://www.smarsh.com/about-us/) 3. [linkedin.com - Smarsh Company Page](https://linkedin.com/company/smarsh) 4. [jobs.lever.co - Smarsh Careers](https://jobs.lever.co/smarsh) 5. 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