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