happn

1 Job

120 Employees

About the Company

happn is the real-life dating app. Recognised globally, it is one of the most downloaded dating apps for Singles who value genuine connections. At the heart of happn's philosophy is the belief that the context of an encounter adds a vital dimension to the connection.. What sets happn apart in the crowded dating app market is its unwavering commitment to fostering trustful, respectful relationships. happn isn't just about facilitating new encounters; it's about crafting a unique experience where individuals discover each other within the context of their local environments, thereby adding an additional layer of connection. This approach resonates with Singles, offering them a unique way to discover and engage with singles in their area. To date, happn has garnered a user base exceeding 150 million people worldwide. Its popularity spans various regions, with notable user concentrations in Western Europe, South America (particularly in Argentina and Brazil), as well as in Turkey and India.

Listed Jobs

Company Name: happn
Job Title: Data Analyst – Produit (H/F)
Job Description: **Job Title** Data Analyst – Product (H/F) **Role Summary** Deliver data‑driven insights to shape product strategy and user experience. Conduct descriptive, diagnostic, and predictive analyses, design and evaluate A/B tests, and communicate findings to cross‑functional teams and leadership. **Expectations** - Own analytical projects from hypothesis to actionable recommendations. - Work autonomously with minimal supervision while collaborating closely with Product Managers, Engineers, and BI teams. - Maintain rigor in statistical methodology, data governance, and dashboard validation. - Demonstrate clear, concise communication, translating complex analyses into accessible presentations. **Key Responsibilities** - Perform deep descriptive and exploratory studies of user behavior across app features. - Model user interactions to identify drivers of engagement, retention, and conversion. - Proactively uncover opportunities for analysis to inform product roadmap; participate in kick‑off sessions (objectives, KPIs, tracking). - Define, run, and analyze A/B tests; document statistical significance and actionable insights. - Produce visual reports, dashboards, and concise decks for business and executive stakeholders. - Monitor KPI trends, assess business impact, and alert product teams to critical issues. - Peer‑review BI engineer outputs; validate production dashboards. - Lead or support continuous improvement of the A/B testing framework (statistical tests, KPI definition, scope). - Develop Python‑based analytical tools, collaborate with Data Scientists on complex projects, and manage code via GitHub. - Champion methodological excellence and innovation within the data team. **Required Skills** - Strong statistical analysis and experimentation (A/B testing, hypothesis testing). - Advanced proficiency in SQL (BigQuery); data querying and manipulation. - Expertise in Python for data analysis and tool development. - Experience with data visualization platforms (Tableau preferred). - Familiarity with cloud platforms (Google Cloud Platform). - Version control with Git (GitHub). - Excellent written and verbal communication; ability to simplify complex concepts. - Project ownership, initiative, autonomy, and rigorous methodological mindset. - Empathy toward users and collaborative attitude toward cross‑functional teams. **Required Education & Certifications** - Degree from a recognized engineering school (Statistics, Data Mining, Mathematics) or a Master’s in Statistics. - Minimum of 3 years of professional experience as a Data Analyst in a digital/product environment. ---