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Senior Product Analyst

  • Melbourne, 0
  • Australia
  • Permanent
  • $100,000–$130,000 per annum
  • Date posted: 25 Aug 2026

Role Summary

About the Role You will build and maintain KPI monitoring , detect anomalies early, and produce regular and ad-hoc analyses that drive retention, conversion, and revenue performance. You will partner closely with Product…

About the Role You will build and maintain KPI monitoring, detect anomalies early, and produce regular and ad-hoc analyses that drive retention, conversion, and revenue performance. You will partner closely with Product Operations and Campaign teams translating business questions into clear analytical outputs. Key Responsibilities Build and maintain a product metrics framework (dashboards, alerts, definitions) for core KPIs: conversion, retention, activity, ARPU, payment and campaign performance Daily monitoring of metrics; flag anomalies and lead root-cause analysis Deliver weekly/monthly insight reports and deep dives requested by operations and leadership Complete independent analysis projects (e.g. funnel drop-off, cohort behaviour, campaign incrementality) Develop analytical models where valuable: LTV, conversion paths, pre-churn signals (SQL Excel/Power BI; Python/R a plus) Partner with stakeholders to turn findings into prioritised recommendations Document metric definitions and ensure consistent reporting across teams Use AI tools to accelerate exploration and documentation where appropriate Requirements Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or related field (Masters a plus) 5 years in product analytics, growth analytics, or data analysis on internet/mobile consumer products Strong SQL; proficient in Excel and Power BI (or equivalent); experience with product analytics tools (e.g. Mixpanel, Amplitude, GA4) Solid grasp of funnel, cohort, retention, and experimentation concepts Self-driven, detail-oriented, strong Mandarin communication Full Australian work rights Nice to Have Python or R for analysis and light predictive modelling Experience in gaming, fintech, marketplaces, or subscription consumer apps Exposure to emerging markets or multi-region products Experience supporting operations or campaign teams with recurring reporting cadences . Experience in Online Betting Industry. . Can Speak and Write Mandarin is Mandatory to be considered in this role

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