Analytics Engineer

Gizmo; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

An innovative AI startup in London seeks an Analytics Engineer to own the data stack responsible for product decisions and growth. The role includes building scalable ELT pipelines and defining key metrics with various teams. The ideal candidate has strong SQL and Python skills, experience in data visualization, and a startup mindset. This position offers a highly competitive salary, equity, and a hybrid work model with 4 days in the office.

Benefits

Highly competitive salary

Equity included

Hybrid working model

Private health insurance

Qualifications

• Strong analytics fundamentals with proven experience building scalable data systems.
• Hands-on experience orchestrating ELT pipelines.
• Clear communicator collaborating effectively with Product, Marketing, and Finance.

Responsibilities

• Define and maintain the semantic layer and core data models.
• Orchestrate reliable, test-covered ELT pipelines.
• Partner with teams to codify KPIs and ensure consistent definitions.
• Publish curated marts for stakeholders to access data.
• Establish data governance standards and monitor quality.
• Implement A/B testing frameworks to analyse impact.

Skills

SQL

dbt

Python

Data Visualization

Event Tracking

Subscription Analytics

Job description

Gizmo is an AI startup on a mission to make learning so easy that anyone can learnanything. 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 1million+ monthly active users and $4million in ARR, Gizmo is already one of the fastest‑growing startups in the UK. Backed by tier‑one investors, we recently raised $22million in SeriesA funding to accelerate our vision of helping onebillion 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 & OpenSearch into our analytics warehouse (Crunchy Data Warehouse) with <1hour latency.
• Own metrics & definitions. Partner with Product, Marketing and Finance to codifyKPIs - MAU, retention, ARPU, quiz accuracy, 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 & 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.

• 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!

• Highly competitive salary.
• You'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 insurance