> Markdown version of [/jobs/ext/723525-growth-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/723525-growth-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Growth Analytics Engineer - **Company:** Doodle - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software as a Service, Google Analytics, Python (Programming Language), Tableau (Software), Sql Optimization, Data Analytics, Hubspot, Looker Analytics, Amazon Redshift - **Published:** June 29, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=2dd8ad444be76d8c ## About the Role Do you have experience in Tableau?, We are looking for an Analytics Engineer who combines strong technical skills with commercial curiosity and business judgment. Analytics Engineering * 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. Technical Expertise * 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 modelling, 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. Communication & Collaboration * 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. ## Description * 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. Business Intelligence & Metrics * 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. Data Products * 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. Experimentation & AI * 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., * You think beyond dashboards and reports. You identify opportunities before others see them. * You understand that good metrics influence behaviour and better decisions. * You combine technical excellence with strong commercial thinking. Hiring Journey * Initial Application Review + BRYQ Assessment. * Hiring Manager Interview. * Technical Analytics Case Study. * Cross Functional Interview. * Executive Interview + HR Interview. * Final Offer & Reference Check. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)