Senior Data Analyst (R&D)
About the Team
At Typeform, data is our #1 asset. Our product enables people to collect information in the most engaging way—by making it conversational. The Data team plays a crucial role in ensuring that every decision we make is backed by meaningful insights, driving innovation and business impact.
About the Role
As a Senior Data Analyst (R&D), you’ll be instrumental in shaping our data-driven decision-making. You’ll collaborate with cross-functional teams, leveraging data to generate actionable insights that optimize performance, drive growth, and enhance our Go-to-Market (GTM) strategy.
Beyond conducting analyses, you’ll play a strategic role in: ✅ Improving our data infrastructure ✅ Defining critical metrics ✅ Fostering a culture of experimentation
Key Areas of Focus & Ownership
Product Taxonomy – Establish a standardised framework to categorize and measure product features, ensuring clear attribution of their impact on conversion, expansion, and churn.
PLG Foundations & Product Qualified Leads (PQLs) – Identify key demographic, firmographic, and behavioral signals that correlate with conversion, expansion, and churn. Help refine our understanding of product usage patterns that drive growth.
Building a Culture of World-Class Experimentation – Overhaul and optimize our A/B testing tools, systems, and processes to improve the speed, confidence, and quality of decision-making across the company.
What You’ll Do
Be a strategic partner – Collaborate with Marketing, Product, and Sales to align analytics initiatives with business objectives. Help prioritize and tackle high-impact analytical challenges.
Define and standardize key metrics – Work closely with Tracking and Data Engineering to ensure consistent measurement and analysis of critical business metrics.
Generate impactful insights – Use SQL and Python to conduct deep-dive exploratory analyses, uncover trends, and refine our GTM strategy and Product roadmap.
Enable self-service analytics at scale – Develop and automate Looker dashboards, empowering non-technical teams to make data-driven decisions.
Lead experimentation efforts – Design and analyze A/B tests using Growthbook and/or Amplitude, optimizing marketing campaigns and product strategies with data-driven evidence.
What You Bring to the Table
Experience working in a B2B SaaS company
Strong analytical mindset with the ability to break down complex problems
Proficiency in SQL and experience analyzing data using Python or R
Excellent communication skills and ability to collaborate with stakeholders
Hands-on experience working with Go-to-Market teams (Sales, Marketing, Customer Success, Support)
Extra Awesome
Expertise in marketing sciences (attribution, experimentation, personalization)
Advanced proficiency in Python
Experience with dbt
Proven ability to build dashboards in Looker and/or Tableau
Familiarity with cloud data warehouses (AWS Redshift, Snowflake, BigQuery)
About the job
Apply for this position
Senior Data Analyst (R&D)
About the Team
At Typeform, data is our #1 asset. Our product enables people to collect information in the most engaging way—by making it conversational. The Data team plays a crucial role in ensuring that every decision we make is backed by meaningful insights, driving innovation and business impact.
About the Role
As a Senior Data Analyst (R&D), you’ll be instrumental in shaping our data-driven decision-making. You’ll collaborate with cross-functional teams, leveraging data to generate actionable insights that optimize performance, drive growth, and enhance our Go-to-Market (GTM) strategy.
Beyond conducting analyses, you’ll play a strategic role in: ✅ Improving our data infrastructure ✅ Defining critical metrics ✅ Fostering a culture of experimentation
Key Areas of Focus & Ownership
Product Taxonomy – Establish a standardised framework to categorize and measure product features, ensuring clear attribution of their impact on conversion, expansion, and churn.
PLG Foundations & Product Qualified Leads (PQLs) – Identify key demographic, firmographic, and behavioral signals that correlate with conversion, expansion, and churn. Help refine our understanding of product usage patterns that drive growth.
Building a Culture of World-Class Experimentation – Overhaul and optimize our A/B testing tools, systems, and processes to improve the speed, confidence, and quality of decision-making across the company.
What You’ll Do
Be a strategic partner – Collaborate with Marketing, Product, and Sales to align analytics initiatives with business objectives. Help prioritize and tackle high-impact analytical challenges.
Define and standardize key metrics – Work closely with Tracking and Data Engineering to ensure consistent measurement and analysis of critical business metrics.
Generate impactful insights – Use SQL and Python to conduct deep-dive exploratory analyses, uncover trends, and refine our GTM strategy and Product roadmap.
Enable self-service analytics at scale – Develop and automate Looker dashboards, empowering non-technical teams to make data-driven decisions.
Lead experimentation efforts – Design and analyze A/B tests using Growthbook and/or Amplitude, optimizing marketing campaigns and product strategies with data-driven evidence.
What You Bring to the Table
Experience working in a B2B SaaS company
Strong analytical mindset with the ability to break down complex problems
Proficiency in SQL and experience analyzing data using Python or R
Excellent communication skills and ability to collaborate with stakeholders
Hands-on experience working with Go-to-Market teams (Sales, Marketing, Customer Success, Support)
Extra Awesome
Expertise in marketing sciences (attribution, experimentation, personalization)
Advanced proficiency in Python
Experience with dbt
Proven ability to build dashboards in Looker and/or Tableau
Familiarity with cloud data warehouses (AWS Redshift, Snowflake, BigQuery)