senior site reliability engineer (SRE)

Aututech Pty Ltd; Melbourne; Hybrid; AUD 100,000 - 130,000; Full time

Job summary

Aututech Pty Ltd in Melbourne is hiring a data-driven Product Analytics professional to build and maintain KPI monitoring, detect anomalies early, and produce regular and ad-hoc analyses that drive retention, conversion and revenue.

You will partner with Product Operations and Campaign teams, translating business questions into clear analytical outputs, and develop models for LTV and churn signals using SQL, Power BI, with Python/R a plus.

Qualifications

• 5+ years in product analytics, growth analytics, or data analysis for internet/mobile apps.
• Strong SQL; proficient in Excel and Power BI.
• Experience with product analytics tools such as Mixpanel, Amplitude, GA4.
• Solid grasp of funnel, cohort, retention, and experimentation concepts.
• Self-driven, detail-oriented with Mandarin communication.

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.

Skills

Product analytics

Growth analytics

Analytical thinking

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field

Master’s degree a plus

Tools

SQL

Excel

Power BI

Mixpanel

Amplitude

GA4

Job description

Location: South Melbourne, VICWork Arrangement: Hybrid, work from home every MondayReporting To: Operation LeaderSalary Range: AUD 100,000 - 130,000 per annum

About the Role

You willbuild and maintain KPI monitoring, detect anomalies early, and produceregular and ad-hoc analysesthat 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 aproduct metrics framework(dashboards, alerts, definitions) for core KPIs:conversion, retention, activity, ARPU, payment and campaign performance
• Daily monitoringof metrics; flag anomalies and leadroot-cause analysis
• Deliverweekly/monthly insight reportsand 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 intoprioritised recommendations
• Document metric definitions and ensureconsistent reportingacross teams
• UseAI toolsto accelerate exploration and documentation where appropriate

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field (Master’s a plus)
• 5+ yearsinproduct analytics, growth analytics, or data analysison internet/mobile consumer products
• StrongSQL; proficient inExcel and Power BI(or equivalent); experience with product analytics tools (e.g. Mixpanel, Amplitude, GA4)
• Solid grasp offunnel, cohort, retention, and experimentationconcepts
• Self-driven, detail-oriented, strong Mandarin communication
• Full Australian work rights

Nice to Have

• Python or Rfor analysis and light predictive modelling
• Experience ingaming, fintech, marketplaces, or subscription consumer apps
• Experience supportingoperations or campaign teamswith recurring reporting cadences
• . Experience in Online Betting Industry.
• Can Speak and Write Mandarin is Mandatory to be considered in this role