Senior Data Analytics Manager
How you’ll make an impact
- Leadership: Own the data and analytics strategy for the product vertical, end-to-end delivery of insights and data products.
- Product Measurement & Insights: Working closely with the pillar leaders you will set the bar for how data is used in product decision making and measuring the ROI of the payment performance product suite. You will use your experience in data science and analytics to help your team to deliver rigorous measurement methods to ensure we have clear, actionable insights for the product team and our merchants.
- Data Architecture: Be the gatekeeper for designing the right data architecture to create clean, cost efficient and reliable data pipelines that deliver high data quality and rich data instrumentation.
- Team Development: Build and develop a team high-performing data scientists and analytics engineers.
What we’re looking for
- Demonstrable multi-year experience in leading data science, product analytics and/or data engineering teams.
- Proven track record in implementing measurement systems for product and system development, applying experimentation, causal inference and so forth.
- Experience in collaborating cross-functionally with all levels of stakeholders, setting roadmaps, owning prioritization, and scoping for the delivery.
- AI-forward mindset and fluency in applying Gen AI in both delivery productivity as well as delivering data and analytics products.
- Demonstrable track record in managing and developing product data scientists and data engineers.
- Core analytics skills, data interrogation skills with SQL/Python, Data Modelling/Engineering, applied statistics (e.g., hypothesis testing, regression, predictive modelling).
- Ideally, having worked with acceptance, fraud and cost optimisation within the context of payments or financial technology services.
- Robust understanding of how products should be instrumented, with the ability to optimize for rigor while considering cost and quality.
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