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Senior Product Analyst
Cipher Recruitment
Melbourne, AUS
Full-time
Mid-Senior
Hybrid
$100,000–$130,000
Discovered 2 weeks ago
Product analyticsKPI frameworks and metricsSQLExcelPower BI or equivalent toolsMixpanel, Amplitude, or GA4
Role Overview
Senior Product Analyst in a Product and Operations team, focused on analytics and KPI frameworks for a digital product.
Work spans product analytics, stakeholder engagement, and strategic insight generation to improve retention, conversion, engagement, and revenue.
Key Skills for This Role
Product analyticsKPI frameworks and metricsSQLExcelPower BI or equivalent toolsMixpanel, Amplitude, or GA4
Full Job Posting
Role overview
Senior Product Analyst in a Product and Operations team, focused on analytics and KPI frameworks for a digital product.
Work spans product analytics, stakeholder engagement, and strategic insight generation to improve retention, conversion, engagement, and revenue.
Workplace and schedule
- Hybrid arrangement: work from home on Mondays and in the office four days per week in South Melbourne, VIC.
- Full-time schedule is 10:00am–6:00pm or 11:00am–7:00pm.
Compensation and benefits
- Advertised salary is $100,000–$130,000 and is slightly negotiable for a strong candidate; salary cadence is not specified.
- Biannual performance bonus is paid in June and December and prorated based on start date.
- A $20-per-day transport allowance applies when working in the office until 7:00pm.
Responsibilities
- Own product analytics and KPI frameworks across core user journeys; build dashboards, KPI definitions, and automated alerts.
- Monitor daily performance, identify anomalies and trends, and investigate changes in conversion, retention, ARPU, payments, and campaigns.
- Deliver weekly and monthly performance reporting and leadership deep dives.
- Conduct funnel, cohort, and campaign incrementality analyses; build LTV, conversion-path, and churn-prediction models.
- Turn insights into prioritised recommendations, align metric definitions and reporting standards, and use AI tools to support analysis and documentation.
Requirements
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field; a master's is preferred.
- 5+ years in Product Analytics, Growth Analytics, or Data Analysis for B2C digital/mobile products.
- Strong SQL; proficiency in Excel and Power BI or equivalent; experience with Mixpanel, Amplitude, or GA4.
- Understanding of funnels, cohorts, retention, and experimentation frameworks; self-driven, detail-oriented, and a strong communicator.
- Mandarin is described as a must and also listed as highly regarded elsewhere in the posting.
- Full Australian working rights are required.
Preferred experience
- Python or R for advanced analysis and predictive modelling is highly regarded.
- Gaming, fintech, marketplace, subscription, multi-region, emerging-market, Product Operations, Campaign analytics, and online betting experience are highly regarded.
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