Drive Product Analytics
Be the dedicated analytical leader for the Zable app, deeply understanding user behavior and engagement drivers to identify high-impact opportunities
Develop and maintain key product metrics, dashboards, and reporting frameworks that provide visibility into user behavior, overall app health, and business performance
Conduct deep-dive analyses into user behaviour, segmentation, and lifecycle patterns to identify growth opportunities and friction points
Apply data science techniques to build predictive models for user behavior, churn risk, and uplift modeling to inform proactive product decisions
Drive Experimentation & Testing
Own the end-to-end A/B testing process, including experimental design, execution, analysis and recommendations
Establish experimentation standards and best practices, including test design, statistical rigour, and result interpretation
Shape Strategy & Decision-Making
Challenge assumptions and provide data-driven perspectives that shape strategic discussions and roadmap planning
Proactively partner with product managers, analysts and engineers to embed data into the daily decision-making flow and translate complex findings into clear business recommendations
Establish Analytical Excellence
Define and champion analytics best practices, standards, and methodologies within the growth analytics team

5+ years of experience in data analytics, ideally within a product-led or high-growth tech environment
Hands-on experience with dbt and familiarity with data modelling best practices
High proficiency in SQL and strong proficiency in data analysis in Python
Demonstrates strong statistical rigour, applying appropriate methods to ensure robust, reliable insights
Highly skilled in experimentation frameworks, including A/B testing, hypothesis testing, and causal inference
Experience building metrics, dashboards and reporting infrastructure
Demonstrated ability to turn ambiguous problems into structured and data-drive insights
Excellent communication skills with experience influencing cross-functional stakeholders and product leaders.

Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
Health coverage: support for your physical and mental wellbeing, including private health cover
Retirement & savings: long-term financial wellbeing through retirement savings plans
Employee referral programme: earn a competitive bonus when you refer successful new team members
Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Lead Data Scientist – Recommendation System

Key skills