Senior Marketing Operations Analyst
New
S
SmarshMarketing analytics
US - Portland / US - RemoteFull-TimeSenior
Salary106,000 - 141,000 USD per year
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Job Details
- Experience
- 5+ years of experience in GTM, marketing, or revenue operations analytics, or business intelligence
- Required Skills
- SQLMicrosoft Power BISalesforceSnowflakeAirflowdbt
Requirements
- 5+ years of experience in GTM, marketing, or revenue operations analytics, or business intelligence.
- Advanced SQL and hands-on experience designing data models in Snowflake or a comparable cloud data warehouse.
- Hands-on dbt experience building production-grade, tested, and documented models.
- Experience building or governing a semantic or metrics layer.
- Experience with ELT and orchestration tools such as Fivetran or Airflow.
- Deep working knowledge of Salesforce data structures and Marketo or a comparable marketing automation platform.
- Expert skills in at least one major BI platform, including governed, self-serve dashboard design.
- Experience designing and governing multi-touch attribution and ABM reporting, and explaining methodology and limitations to non-technical executives.
- Practical hands-on use of AI tools in analytics and a clear point of view on AI-ready data.
- Experience owning an analytics roadmap and influencing senior stakeholders with data.
- Strong written and verbal communication skills, including explaining complex analysis in a concise business narrative.
Responsibilities
- Design governed dbt models and a semantic layer with consistent marketing and GTM metric definitions.
- Build validation and testing frameworks for data and AI-generated answers.
- Own marketing data architecture, including source connectors, Snowflake ingestion, transformation, orchestration, and curated models.
- Build and maintain data pipelines using ELT and orchestration tools, with monitoring and documented SLAs.
- Model account hierarchies and lead-to-account matching.
- Design and govern marketing attribution, including W-shaped, custom, and account-level influence models.
- Lead ABM measurement, including engagement scoring, buying-group coverage, intent-to-pipeline conversion, and target-account progression.
- Analyze campaign and channel performance using cohort analysis, funnel velocity, incrementality, and forecasting.
- Build executive dashboards and own analytics for monthly and quarterly business reviews.
- Set the marketing analytics roadmap and partner with leadership on planning, pipeline targets, and growth strategy.
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