Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Twist Bioscience

Marketing Analytics Manager

Twist Bioscience

. Own and maintain the authoritative marketing data model and metric definitions .

Posted 9/21/2026full-timeSouth San Francisco • California • United StatesSeniorLead💰 $157,000 - $198,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in marketing analytics with a focus on data-driven insights, storytelling, and visualization. Proficient in SQL, Tableau, and cloud data warehousing, particularly Snowflake, to support marketing performance measurement and reporting.

Highest-signal resume keywords
Marketing AnalyticsSQL ProficiencyTableau ExpertiseSnowflake ExperienceAI Tools Fluency

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Marketing Data ModelLead Scoring ValidationAttribution MetricsFunnel MetricsLifecycle MetricsData Quality ChecksSelf-Serve AnalyticsPredictive ModelingCampaign TrackingMetric Catalogs
Soft Skills
StorytellingCommunication SkillsCollaborative Working Style
Tools & Technologies
Salesforce Marketing CloudMarketoClaudeGeminiSegment
Industry Keywords
B2B Funnel ExperienceLife SciencesBiotechE-Commerce AnalyticsScientific Tools

Tech Stack

Tools & technologies
CloudSQLTableau

About the role

Key responsibilities & impact
  • Own and maintain the authoritative marketing data model and metric definitions
  • Deliver end-to-end marketing measurement as business-focused stories with recommendations
  • Partner with commercial, product and digital marketing leaders to diagnose channel performance, funnel leaks and segment opportunities
  • Own lead quality measurement, including MQL definitions, lifecycle metrics and lead scoring validation
  • Build self-serve datasets and documented endpoints for marketing leaders
  • Deliver curated visuals, recurring digests and narrative summaries for stakeholders
  • Validate self-served numbers and establish automated data-quality checks
  • Build AI-assisted analytics tools and maintain the marketing semantic layer and metric dictionary
  • Steward the governed Snowflake marketing data product layer
  • Represent marketing analytics requirements as the technology stack evolves, including Salesforce Marketing Cloud migration, Segment instrumentation and e-commerce replatforming
  • Drive campaign performance reporting adoption and support the migration from Marketo to Salesforce Marketing Cloud

Requirements

What you’ll need
  • 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, with specific business decisions changed because of analysis
  • Strong storytelling and communication skills
  • Ability to present to senior leaders
  • Ability to communicate complex topics using intuitive, accurate data visualizations
  • Hands-on fluency with AI tools such as Claude, Gemini or similar for analytical work
  • Working proficiency in SQL and Tableau
  • Comfort in a cloud data warehouse; Snowflake preferred
  • Practical fluency with attribution, campaign tracking, funnel and lifecycle metrics, and lead scoring
  • Collaborative working style
  • Life sciences, biotech or scientific-tools experience is nice to have
  • E-commerce analytics experience is nice to have
  • Salesforce ecosystem experience, especially Salesforce Marketing Cloud; Marketo useful, is nice to have
  • Experience with semantic layers, metric catalogs, data dictionaries or self-serve analytics enablement is nice to have
  • Exposure to predictive modeling is nice to have
  • Experience working as a customer of a central BI or data platform team is nice to have

Benefits

Comp & perks
  • Bonus eligibility
  • Equity eligibility
  • Generous benefits package