Head of Analytics
22 hours ago
Paris
⌘ Role Overview To unlock the next stage of growth, we’re hiring our first Head of Analytics — someone who can combine hands-on execution with long-term data strategy. Early on, you’ll be deep in the stack — setting up experiments, fixing tracking gaps, and building trusted dashboards. Over time, you’ll shape our analytics vision, create systematic processes, and cultivate a culture where product and marketing decisions are powered by data. ⌘ Key Responsibilities • Build our analytics foundations: design and maintain tracking, pipelines, and single-source-of-truth data models, • Experimentation at scale: create and implement an A/B testing framework, and coach teams to test and learn faster, • Data quality: establish strong processes between engineering, QA, and data to ensure reliability and consistency, • Dashboards & self-serve analytics: deliver clear, trusted dashboards that empower product, marketing, ops, and leadership, • Business impact measurement: partner with product to evaluate the effect of features and new experiences on revenue and retention, • Insights & storytelling: engage senior stakeholders with clear, actionable insights that shape strategy, • Team management & growth: hire, mentor, and scale a high-performing analytics team to support TimeLeft’s growth ⌘ Expected Outcomes • Robust experimentation culture: A/B testing is systematic, efficient, and embedded across product & marketing; leadership regularly uses learnings to inform strategy., • Single source of truth: Clear, trusted dashboards exist for top-line and key product metrics and are widely adopted across teams., • Reliable data quality: Strong monitoring and QA processes ensure minimal data gaps, with engineering + QA aligned on ownership and fixes., • Business impact measurement: Every major feature, experience, or monetization initiative is evaluated with clear methodology, showing its effect on revenue and retention., • Self-serve analytics culture: Product, marketing, and ops teams can answer most recurring questions themselves, reducing ad-hoc data requests., • Scaling analytics team: Initial analytics team is onboarded, and productive, with a roadmap for scaling as the company grows., • Stakeholder partnership: Analytics is seen as a trusted partner to product, marketing, ops, and leadership — shaping decisions, not just reporting them. ⌘ Skills & Competencies Hard Skills • SQL, • dbt, • BI Tools (Lightdash, PowerBI, Looker Studio, Thoughtspot, or Sigma Computing - we run on Lightdash), • Product Analytics Tools (PostHog, Amplitude, Mixpanel, or Pendo - we run on PostHog), • Attribution Tools (we run on AppsFlyer), • Experimentation design and statistical analysis, • Data modeling, pipelines, and monitoring, • Subscription / marketplace metrics (ARPU, LTV, retention, churn, cohorts) Soft Skills • Strong business acumen, • Strong problem identification and solving skills, • Strong data storytelling skills, • Clear communicator, able to simplify complexity for any audience., • Autonomy & ownership — proactive in identifying problems & driving solutions, • Leadership — ability to grow and mentor a small team, • Strategic thinker with hands-on execution ability, • Strong cross-functional collaboration, able to translate data into clear insights for product, marketing, and leadership (product, marketing, ops, engineering) ⌘ Required experience • 7+ years in data analytics with strong experience in consumer tech, marketplaces, or subscription models, • Proven track record of building analytics infrastructure end-to-end (tracking, data pipelines, modeling, dashboards), • Experience driving experimentation and A/B testing in fast-scaling environments