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Growth Analytics Engineer at Doodle | JobVerse
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Growth Analytics Engineer
Doodle
Website
LinkedIn
Growth Analytics Engineer
Germany
Full Time
21 hours ago
No Sponsorship
Apply Now
Key skills
Amazon Redshift
Python
SQL
Tableau
R
AI
Analytics
Looker
Business Intelligence
Redshift
dbt
SaaS
Decision Making
About this role
Role Overview
Build the data products, reporting, and analytical capabilities that power Doodle's Growth organisation.
Own analytics across Doodle's self serve Product Led Growth business and Enterprise Revenue organisation.
Build a clear understanding of acquisition, activation, monetization, retention, expansion, and customer behaviour.
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.
Conduct deep dive analyses across customer cohorts, lifecycle behaviour, expansion opportunities, churn drivers, pricing, and segmentation.
Translate complex analytical findings into clear business recommendations.
Support Growth experiments through measurement, analysis, and reporting.
Evaluate the effectiveness of AI initiatives and automation across the business.
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 organisations.
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.
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.
Ability to communicate analytical findings clearly to technical and non technical audiences.
Tech Stack
Amazon Redshift
Python
SQL
Tableau
Benefits
Health insurance
Flexible work arrangements
Professional development opportunities
Paid time off
Apply Now
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