As a Senior Data Analyst, you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.
- Own a risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
- Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact risk and fraud challenges.
- Apply advanced analytical methods, including simulation, optimisation, and statistical modelling, to detect and solve complex problems such as incentive abuse, refund claim abuse and.
- Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
- Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
- Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the risk and fraud infrastructure.
- Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
- Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.
Find out more about our Data Analytics folks here:
