Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data-driven products and reporting solutions to support Doodle’s growth strategies as you define and analyze KPIs to make data-driven decisions and optimize customer behavior.
Job Technologies
Your role in the team
- As a Growth Analytics Engineer, you will 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 organization.
- 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.
- Partner with Engineering to improve instrumentation, event tracking, and data quality.
- Conduct deep dive analyses across customer cohorts, lifecycle behaviour, 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.
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Our expectations of you
Qualifications
- We are looking for an Analytics Engineer who combines strong technical skills with commercial curiosity and business judgment.
- Advanced SQL skills.
- Understanding of data modelling, event instrumentation, and analytics engineering best practices.
- Strong understanding of activation, retention, customer cohorts, monetization, subscription metrics, and funnel analysis.
- Familiarity with experimentation analysis and statistical methods.
- Ability to communicate analytical findings clearly to technical and non-technical audiences.
- Comfortable presenting recommendations to senior leaders.
Experience
- 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.
- Experience with Python or R for analysis and modelling.
- Experience working with dbt, Redshift, GA4, HubSpot, Looker, Tableau, or similar modern data tools.
- Experience designing KPI frameworks and translating business questions into structured analytical approaches.
- Experience partnering with Product, Engineering, Revenue, Marketing, Finance, and Operations teams.
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What we offer
- We can only consider applicants who have the right to work in Germany or the United Kingdom.
- We are unable to sponsor visas or support relocation for this position.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Doodle
Doodle is an advertising-funded online service for creating event polls or simple online surveys. The service can be used anonymously and optionally with or without registration. The Swiss development company of the same name provides online tools for efficient date finding.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Growth Analytics Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
