Analytics Engineer

Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We''re building "Duolingo for everything"—a platform that turns any topic into an engaging, gamified learning journey powered by social mechanics and adaptive AI.With

1 million+ monthly active users

and

$4 million in ARR , Gizmo is already one of the fastest-growing startups in the UK. Backed by tier-one investors, we recently raised

$16 million in Series A

funding to accelerate our vision of helping

one billion

people learn.Reporting directly to the founders, you will be the

first dedicated Analytics Engineer

at Gizmo, owning the end-to-end data stack that fuels product decisions, growth experiments, and AI feedback loops. Your charter is classic Analytics Engineering: create a single, trustworthy source of truth, enable self-serve insights, and ensure that every team can answer "What happened?" and "Why?" without waiting in a queue.Key Responsibilities

Model the business. Define and maintain the semantic layer and core data models (dbt) that transform raw events from PostgreSQL, Posthog, RevenueCat, and more into conformed datasets for product and finance.Build scalable ELT pipelines. Orchestrate reliable, test-covered pipelines in Argo that move data from production Postgres and OpenSearch into our analytics warehouse (Crunchy Data Warehouse) with

Own metrics and definitions. Partner with Product, Marketing, and Finance to codify KPIs—MAU, retention, ARPU, quiz accuracy, etc.—in version-controlled data tests so "active user" means the same thing everywhere.Enable self-service. Publish curated marts that let stakeholders slice data with SQL; annotate our data for the use of AI tools within our AI-powered BI tools.Instrument and govern data. Establish event-tracking standards, data contracts, and lineage monitoring; create alerts for pipeline breaks and data-quality regressions.Drive experimentation. Implement A/B testing frameworks, ensure proper randomisation, and analyse impact on engagement and revenue.Requirements

Strong analytics fundamentals with proven experience building scalable data systems that drive business decisions.You are skilled in SQL, dbt, and Python with hands-on experience orchestrating ELT pipelines.Proficiency in data visualisation tools, event tracking platforms, and subscription analytics.Clear communicator who can break down complexity and collaborate effectively with Product, Marketing, and Finance teams.Driven by impact - you prioritise metrics that move the needle on engagement, retention, and revenue.Self-starter with a maker mindset. We''re looking for individuals with start-up experience.You are a fast learner who''s not afraid of new challenges - you are ambitious and motivated to build something meaningful.Open-minded and feedback-oriented, always striving to learn and improve.Happy to work hard for a chance at building something great!Benefits

Highly competitive salaryYou''ll own a piece of what you''re building - equity included.Hybrid working model with 4 days in our East London office, ideally located between Shoreditch High Street, Old Street, and Liverpool Street stations.The opportunity to become one of the earliest employees in one of the UK''s fastest-growing startups.Private health ..... full job details .....