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About the Role
Own the layer between marketing data and decision-making, providing reliable analytics, translating insights into clear stories, and enhancing team sharpness. This role stewards a governed Snowflake database, owning the data model, metric definitions, and insight delivery through self-serve and curated formats. You will formalize and build upon the existing data foundation, driving campaign performance reporting, supporting a Salesforce Marketing Cloud migration, and establishing structure like a documented data model and automated quality checks.
Responsibilities
- Own the data model and metric definitions, documenting and maintaining an authoritative marketing data model.
- Deliver end-to-end marketing measurement as compelling stories with recommendations.
- Collaborate with stakeholders to address business problems, identify root causes, and analyze performance.
- Own lead quality measurement, including MQL definition, lifecycle metrics, and pipeline analysis.
- Build and manage two distinct delivery channels: self-serve endpoints and curated visuals/digests.
- Implement a quality layer by sanity-checking numbers and setting up automated validation checks.
- Build AI-assisted analytics tools by maintaining Marketing’s semantic layer and metric dictionary.
- Steward the marketing data product layer, owning its content, dependencies, and impact of changes.
- Represent and advocate for marketing analytics requirements during marketing technology stack evolution.
Requirements
- 7-10+ years in marketing analytics, business analytics, or a closely related field, including B2B funnel experience.
- Demonstrated ability to move from data to insight to recommendation, influencing business decisions.
- Strong storytelling and communication skills, with comfort presenting to senior leaders.
- Ability to clearly communicate complex topics using data visualizations.
- Hands-on fluency with AI tools (Claude, Gemini or similar) for analytical work.
- Working proficiency in SQL and Tableau.
- Comfort in a cloud data warehouse (Snowflake preferred).
- Practical fluency with marketing measurement concepts (attribution, campaign tracking, funnel and lifecycle metrics, lead scoring).
- Collaborative approach, surfacing overlaps and ambiguity early.
- Experience building or maintaining semantic layers, metric catalogs, data dictionaries, or self-serve analytics enablement.
- Exposure to predictive modeling.
- Experience working as a customer of a central BI or data platform team.
Skills
- SQL
- Tableau
- Snowflake
- AI tools (Claude, Gemini or similar)
- Marketing measurement concepts
- Storytelling
- Communication
- Data visualization
Location
- California
- San Francisco Bay Area
Work Type
- Full-time
Experience Level
- 7-10+ years
Salary/Compensations
- $157,000—$198,000 USD
Benefits
- Bonus
- Equity
- Generous benefits package
About the Company
- Twist Bioscience's marketing team runs a sophisticated B2B and e-commerce funnel across Salesforce, Snowflake, and Tableau, with Segment for event tracking and a migration to Salesforce Marketing Cloud under way.
- Our central Business Intelligence (BI) team owns the data platform - pipelines, uptime, core fact tables - and marketing operates as a customer of that layer.
- There's a solid data foundation in place and a team that's actively invested in analytics.
- Life sciences, biotech or scientific-tools experience is a plus.
- E-commerce analytics, especially mixed B2B and self-serve funnels is a plus.
- Salesforce ecosystem experience - Salesforce Marketing Cloud especially; Marketo useful given our migration is a plus.
- Data engineering or pipeline ownership is not required.
- Product analytics is handled by a separate team.
- This is an individual contributor (IC) role; you manage the function, not direct reports.