About the role
We are looking for a Junior Product Analyst with 2+ years of data analytics experience to support across our rapidly evolving, multi-product digital platform.
In this high-impact role, you will be pivotal in uncovering, measuring, and communicating insights from data that directly shape product strategy and accelerate the growth of our new product offerings. You will act as a key analytical thought partner, moving beyond basic reporting to managing the analytical workflow, from defining metrics to influencing executive decision-making.
What You'll Do
Drive Product Analytics
Become the dedicated data expert for a specific product, deeply understanding user behaviour, engagement funnels, and conversion drivers to identify high-impact opportunities
Develop and maintain key product metrics, dashboards, and reporting frameworks that provide visibility into user behaviour, product health, and business performance
Conduct deep-dive analyses into user behaviour, segmentation, and lifecycle patterns to identify growth opportunities and friction points
Drive Experimentation & Testing
Own the end-to-end A/B testing process, including experimental design, execution, analysis and recommendations
Champion 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
Translate complex findings into clear business recommendations
Work closely with product managers, other analysts and engineers to embed data into the daily decision-making flow
Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas
What We're Looking For
Core Qualifications
2+ years of experience in data analytics, ideally within a product-led or high-growth tech environment
High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).
Hands-on experience with DBT and familiarity with data modelling best practices
Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference)
Experience building metrics, dashboards and reporting infrastructure
Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights
Excellent communication skills with experience influencing cross-functional stakeholders and product leaders
Nice to Have
Experience in product analytics
Experience in fintech or financial services products
Interview Process:
Screening call with a recruiter
Take home task and cognitive tests
Case study interview
Final interviews
