Data Scientist / Data Analyst (Web3)

We are currently working with a fast-growing, profitable digital assets platform that is scaling its global analytics capability. They operate with a lean, distributed team and support millions of users worldwide through embedded financial technology solutions.

Our client is looking to appoint a

Data Scientist / Data Analyst

to take ownership of their analytics function end-to-end. This is a high-impact role where you will design tracking frameworks, build reporting infrastructure, lead experimentation initiatives, and deliver insights that directly influence product and commercial decision-making.

This opportunity would suit someone who enjoys autonomy, thrives in fast-moving environments, and wants measurable influence over product direction and growth.

The Role

Product Analytics & Tracking Analytics Infrastructure Design and implement comprehensive tracking across the full customer journey. You will enable clear week-on-week and month-on-month performance analysis across onboarding flows, transaction performance, connection points, and conversion metrics. Conversion Funnel Analysis Define and monitor detailed funnels (e.g., initiated vs completed actions, onboarding steps started vs finalised, compliance stages, transaction success rates). Identify friction points and recommend optimisation strategies. Performance Reporting Deliver structured, objective reporting to product and leadership teams, highlighting behavioural trends, drop-offs, processing times, and overall platform efficiency.

A/B Testing & Experimentation Experimentation Framework Evaluate, implement, and manage an experimentation framework to support data-led product iteration. Experiment Design & Analysis Develop statistically robust experiments, define KPIs and success criteria, and interpret results to drive measurable conversion and engagement improvements. Stakeholder Collaboration Partner closely with Product and Engineering teams to prioritise testing initiatives and translate findings into actionable roadmap decisions.

Dashboards & Data Engineering Centralised Reporting Hub Build and maintain a core analytics dashboard that surfaces key operational and commercial metrics to stakeholders. Data Pipelines Develop and maintain reliable data pipelines to ensure clean, accurate, and timely reporting.

Candidate Profile

Experience & Technical Skills 3+ years’ experience in a Data Analyst or Data Scientist role Strong SQL capability (experience with relational databases preferred) Proficiency in Python or R for statistical analysis and modelling Solid understanding of experimentation methodology (hypothesis testing, statistical significance, confidence intervals) Experience building dashboards using BI tools (e.g., Looker, Tableau, Metabase, Power BI or similar)

Competencies Strong product mindset with the ability to link data insights to commercial outcomes Clear communicator, able to present complex findings to both technical and non-technical audiences Self-sufficient and proactive in identifying measurement gaps and surfacing opportunities

Desirable (Not Essential) Experience within digital assets, fintech, payments, or high-volume transaction environments Exposure to data warehousing, ETL processes, or event-driven systems Practical application of machine learning in production environments