Senior Data Analyst (GTM)

About the Team:

At Typeform, the Data & Insights team is on a mission to make data our #1 asset. Our product helps people collect information in the most human way possible—and internally, we hold ourselves to the same standard. We believe great decisions come from great conversations with data.

You’ll join a department of Data Scientists, Analysts, and Analytics Engineers who partner closely with the business to turn insight into action.

About the Role:

We’re looking for a (Senior) Data Analyst to become the dedicated analytics partner for our Paid Media team. Paid Media is central to Typeform’s next phase of growth—especially as we scale upmarket, optimize CAC efficiency, and invest in value-based GTM motions.

Your mission: turn our biggest Paid Media data investments into operational impact. You’ll help the team make faster, smarter decisions by building the models, frameworks, and dashboards that guide where and how we spend.

This is a high-visibility role with direct impact on major FY26 strategic targets, including reducing our LTV:CAC ratio by 10–20%

Things you’ll do:

Be the strategic analytics partner for Paid Media

• Work directly with Marketing Leadership, Paid Marketing, RevOps, and Analytics Engineering to ensure our data investments translate into measurable business outcomes.
• Prioritize the analytics roadmap based on ROI, speed to decision, and alignment with Typeform’s GTM “big bets.”

Own our Paid Media analytics foundation

• Stand up and maintain key efficiency, CAC, and ROI metrics across Snowflake and Looker.
• Build repeatable reporting that shortens decision cycles from weeks → days.

Operationalize our new GTM data investments

• Mixed Media Modeling (MMM): Interpret Paramark outputs, run always-on incrementality tests, and translate insights into spend allocation guidance.
• Clay Enrichment: Partner with Analytics Engineering to move Clay firmographics/intent data into Snowflake and transform it into actionable audience quality insights.
• Predictive LTV: Build and deploy predictive LTV models to enable value-based bidding and smarter acquisition targeting.

Drive experimentation & continuous optimization

• Design A/B and incrementality tests across channels (paid search, paid social, PLG signals).
• Evaluate performance, communicate tradeoffs, and help Paid Marketing iterate faster on what works—and what doesn’t.

Enable self-service at scale

• Build dashboards that empower Paid Media and Marketing Leadership to autonomously track performance, understand channel dynamics, and take action quickly.

What you already bring to the table:

• Experience as a Data Analyst or Product Analyst within B2B SaaS.
• Strong SQL skills and hands-on experience analyzing data in Python or R.
• Ability to run A/B tests end-to-end (design → execution → readout).
• Strong analytical thinking: comfortable tackling complex, ambiguous problems and breaking them down into structured, data-driven insights.
• Experience communicating with cross-functional partners across Marketing, Product, Engineering, or Revenue.
• Experience supporting GTM, Paid Media, or broader Marketing organizations.

Extra awesome:

• Experience with marketing sciences: MMM, attribution models, incrementality testing, or personalization.
• Deep Python expertise.
• Experience with dbt, Looker, or Tableau.
• Familiarity with Snowflake, Redshift, or BigQuery.
• Experience working with enriched audience data or intent/firmographic models.