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Sydney
3 weeks ago
Product Data Science Lead logo

Product Data Science Lead

UpGuard

Sydney
3 weeks ago
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Product Data Science Lead

UpGuard is seeking an experienced Product Data Science Lead to join their Product team in Sydney, Australia. This autonomous role involves owning product analytics end-to-end, defining KPIs, building data models, and partnering with Product, Sales, and CS to drive adoption and growth. The ideal candidate has 4+ years of analytics experience in high-growth SaaS, strong product domain knowledge, and expertise in modern data infrastructure.

Core AIOn-siteFull-timeLeadProduct AnalyticsKPI Definition

Product Data Science Lead

UpGuard is seeking an experienced Product Data Science Lead to join their Product team in Sydney, Australia. This autonomous role involves owning product analytics end-to-end, defining KPIs, building data models, and partnering with Product, Sales, and CS to drive adoption and growth. The ideal candidate has 4+ years of analytics experience in high-growth SaaS, strong product domain knowledge, and expertise in modern data infrastructure.

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Core AIOn-siteFull-timeLeadProduct Analytics

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

On-site

Experience Required

4 years

Employment Type

Full-time

Experience Level

Lead

Core Qualifications

Technical (Must-have)
Product AnalyticsKPI DefinitiondbtBigQueryETL/ELTData VisualizationThoughtSpotOmniLookerStatistical AnalysisBusiness IntelligenceAI/LLM ToolsData ModelingSQLCommunication
Soft Skills
CommunicationInfluenceStrategic ThinkingAnalytical ThinkingCollaborationAutonomyProblem Solving

Preferred Qualifications

Technical (Nice-to-have)
SegmentMixpanelAmplitudeHubSpotSalesforceCausal InferenceLLM AgentsSaaS MetricsNRR/GRRProduct-Led Growth

Key Responsibilities

  • •Generate actionable insights from complex product and usage data to inform roadmap prioritization and feature investment.
  • •Establish strong collaborative relationships with Product Managers, Operations, Design, Engineering, and Success.
  • •Design, define, and maintain product KPIs and engagement milestones.
  • •Develop a deep understanding of the product funnel and build metrics, models, and dashboards for self-service.
  • •Partner with data engineering to design and maintain foundational product data assets and dbt models.
  • •Provide self-service and conversational analytics capabilities using design thinking principles.
  • •Conduct hands-on technical analysis to diagnose and solve product challenges.
  • •Act as the connective tissue between Product and Sales/CS, translating usage signals into adoption plays and health scores.
Product AnalyticsData ScienceSaaSCyber SecuritydbtBigQueryLeadFull-timeSydneyAustralia
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