Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As an Analytics Engineer at Doodle, you will build trusted data foundations, uncover business opportunities, and enable smarter decisions across Growth, Product, Revenue, and Operations. Your work will be crucial in understanding customer behavior and guiding future investments.

Responsibilities

• Own analytics across Doodle's self-serve Product Led Growth business and Enterprise Revenue organization.
• Build a clear understanding of acquisition, activation, monetization, retention, expansion, and customer behavior.
• Connect product usage, customer engagement, and commercial performance into a single growth story.
• Define, build, and maintain the KPIs that drive business performance.
• Design scalable dashboards and self-service reporting that enable faster decision-making.
• Partner with leaders across Revenue, Product, Finance, and Operations to establish trusted business metrics.
• Build reusable datasets, reporting models, and analytics products that eliminate manual reporting.
• Improve the accessibility, consistency, and reliability of business data.
• Partner with Engineering to improve instrumentation, event tracking, and data quality.
• Conduct deep-dive analyses across customer cohorts, lifecycle behavior, expansion opportunities, churn drivers, pricing, and segmentation.
• Translate complex analytical findings into clear business recommendations.
• Identify opportunities that improve Growth, Product, and commercial performance.
• Support Growth experiments through measurement, analysis, and reporting.
• Evaluate the effectiveness of AI initiatives and automation across the business.
• Help define experimentation metrics and ensure data quality across Growth initiatives.

Requirements

• 5+ years of experience in Analytics Engineering, Growth Analytics, Business Intelligence, Data Analytics, or similar roles within SaaS businesses.
• Strong experience supporting Product Led Growth, subscription businesses, or Revenue organizations.
• Advanced SQL skills.
• Experience with Python or R for analysis and modelling.
• Experience working with dbt, Redshift, GA4, HubSpot, Looker, Tableau, or similar modern data tools.
• Understanding of data modeling, event instrumentation, and analytics engineering best practices.
• Strong understanding of activation, retention, customer cohorts, monetization, subscription metrics, and funnel analysis.
• Experience designing KPI frameworks and translating business questions into structured analytical approaches.
• Familiarity with experimentation analysis and statistical methods.
• Experience partnering with Product, Engineering, Revenue, Marketing, Finance, and Operations teams.
• Ability to communicate analytical findings clearly to technical and non-technical audiences.
• Comfortable presenting recommendations to senior leaders.
• Applicants must have the right to work in Germany or the United Kingdom.

Skills

• SQL
• Python
• R
• dbt
• Redshift
• GA4
• HubSpot
• Looker
• Tableau
• Data modeling
• Event instrumentation
• Analytics engineering best practices
• Activation analysis
• Retention analysis
• Customer cohort analysis
• Monetization analysis
• Subscription metrics analysis
• Funnel analysis
• KPI framework design
• Experimentation analysis
• Statistical methods

Location

• Germany
• United Kingdom

Work Type

• Full-time

Experience Level

• 5+ years

About the Company

• Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration.
• We are expanding from a scheduling product into a broader productivity and coordination platform, creating meaningful opportunities to accelerate Product Led Growth through data, experimentation, and operational excellence.

Equal Opportunity

• At Doodle, we are committed to providing an environment of mutual trust and respect, where equal employment opportunities are available to all applicants and teammates without regard to age, race, color, disability, religion, gender, or sexual orientation.
• Diversity and inclusion are important to us because the best products are built by teams with different experiences, perspectives, and backgrounds.