Data Analyst

Lingokids is on a mission to help families raise amazing kids through Playlearning . Ready to join us on this exciting journey? Lingokids is a global leader in educational technology, helping over 185 million families worldwide raise amazing kids through Playlearning ,our unique approach that blends education with play. Our mission is to empower children with modern learning experiences, combining educational subjects with essential life skills to help them grow into confident, conscious, and resilient lifelong learners. Beyond our award-winning app, we've built a multi-platform educational universe, including our "Baby Bot" and "Baby Bot's Backyard Tales" shows, Podcasts, and Music Publishing. Our content, developed in collaboration with top education experts and Oxford Press University, ensures an engaging, high-quality learning experience in a safe, ad-free environment. This dedication to excellence has earned Lingokids multiple industry awards across app, podcast, and video

categories, including Best Original Learning App by Kidscreen Awards, National Parenting Product Awards by NAPPA Awards, and Best Parenting Product by Good Housekeeping, among many others What you'll do - Own the end-to-end user journey for both free and paid (Plus) users: map how users enter, explore, convert, churn, and reactivate across the product. - Identify key behavioral patterns, friction points, and high-value segments through deep cohort analysis, funnel decomposition, and engagement profiling. - Translate findings into targeting recommendations: define which user segments to prioritize, when to intervene, and what levers (content, notification, paywall, onboarding) are most likely to move the needle. - Build and maintain dashboards and reports that track user journey KPIs - activation rates, habit formation milestones, retention curves, conversion touch points - so product and growth teams always have reliable, actionable visibility. - Partner with product managers to design and analyze A/B tests that validate targeting hypotheses and optimize specific journey moments. - Work closely with Data Scientists to ensure your segmentations and journey insights feed into modeling and personalization initiatives. - Contribute to content quality evaluation - analyzing how different content types and formats perform across user segments, and assessing how content is produced and how to surface the most relevant content to each user. - Depending on the squad, this may include recommendation observability work - tracking what is being recommended to whom, and monitoring diversity, novelty, and coverage across experiments to ensure recommendation quality is visible and measurable. - Translate retention and engagement findings into revenue and LTV impact - sizing the business value of user behavior changes and helping prioritize where to focus next. - Present findings with clarity and conviction to stakeholders at all levels, making complex behavioral patterns easy to act on. What you'll bring - Advanced SQL: fluent in complex queries (window functions, CTEs, nested aggregations, sessionization) on large-scale data warehouses such as Databricks or BigQuery. - Deep product analytics expertise: strong hands-on experience with behavioral analytics platforms (Amplitude, Mixpanel, or equivalent). Comfortable building funnels, retention curves, cohort analyses, and event-level user flows from scratch. - User journey thinking: ability to go beyond reporting metrics and reconstruct why users behave the way they do. You connect data signals into coherent narratives about user intent, motivation, and friction. - Targeting and segmentation mindset: experience defining actionable user segments and translating them into concrete product or growth recommendations - not just describing who users are, but what to do about it. - Statistical rigor: solid grasp of A/B testing, significance testing, and common pitfalls (novelty effects, SRM, peeking). Comfortable communicating uncertainty and caveats clearly. - Storytelling and influence: the ability to turn complex analyses into clear, persuasive narratives for non-technical stakeholders. Strong at structuring findings into recommendations that drive decisions. - End-to-end ownership: a track record of defining problems independently, building the right analytical framework, and following through until insight becomes action. Nice to have - Experience with Python (Pandas, Matplotlib) for more advanced data manipulation or exploratory analysis. - Familiarity with DBT or other data transformation tools. - Experience in a subscription or freemium business, particularly around lifecycle and retention an