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9fin is an AI platform powering global debt markets, serving 300+ blue-chip institutions including global banks, asset managers, private equity firms, law firms, and advisors. The company is scaling rapidly with proven product-market fit and strong market pull.
You will be embedded with the marketing team, owning marketing analytics end-to-end. Your responsibilities include:
- Own the inbound funnel metrics across landing → MQL → SQL → trial → conversion, ensuring marketing, sales, and leadership trust the same numbers.
- Build multi-touch attribution models that move beyond last-touch UTM tracking to show which channels and campaigns actually drive pipeline and revenue.
- Measure channel and campaign performance across email, paid media, social, events, and SEO, identifying what to scale and what to stop.
- Connect marketing to revenue by modeling CAC, conversion, payback, and cohort LTV, quantifying marketing's contribution to pipeline and bookings in partnership with GTM/RevOps analytics.
- Own marketing data models and the semantic layer, authoring dbt models on BigQuery integrating HubSpot, Salesforce, Google Analytics, and Amplitude, and owning the Omni semantic layer for self-serve analytics.
- Own instrumentation and lead-data quality, designing landing-page and web tracking (UTMs, Amplitude), supporting lead-scoring models, and keeping marketing and sales numbers aligned and GDPR-compliant.
- Own web and SEO analytics, tracking website traffic and SEO performance, turning insights into clear recommendations.
- Serve as an embedded analytical partner to marketing, working directly with demand gen and RevOps to translate campaign questions into analysis that drives spend and prioritization decisions.
You are a senior, hands-on individual contributor with real technical depth who thrives on turning marketing and funnel data into decisions that move pipeline and revenue.
REQUIREMENTS:
- Proven analytics experience supporting marketing, growth, demand gen, or RevOps, ideally in B2B SaaS or fintech
- Expert SQL for complex analysis, optimization, and reusable datasets
- dbt and cloud data warehouse experience (BigQuery, Snowflake, or similar) with commercial experience building production models, tests, and documentation
- Modern BI with integrated semantic layer (e.g., Omni, Looker, Thoughtspot) for building self-serve dashboards and owning metric definitions
- Deep knowledge of the marketing stack: HubSpot (or similar automation/CRM), Salesforce, Google Analytics, and digital/web/event analytics
- Attribution and funnel expertise: multi-touch attribution, CAC, conversion, LTV/payback, with statistical judgment to separate signal from noise
- Strong communication skills to turn analysis into clear narratives marketing and leadership can act on
- Strategic problem-solving ability to own metric definitions and build validation so numbers are trusted across teams
- Bonus: Python for deeper analysis; experience with paid-media analytics, SEO, or marketing experimentation
