Product Data Science Lead
New
U
UpGuardCybersecurity SaaS
While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance. For applications to positions in the United States, please note, at this time, we can only support hiring in the following US states: CA, MD, MA, IL, OR, WA, CO, TX, FL, PA, LA, MO, or DC.Full-TimeLead
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- SQLProduct AnalyticsData modelingBigQuerydbtLooker
Requirements
- 4+ years of professional experience delivering analytics solutions for product teams in high-growth SaaS environments.
- Deep working knowledge of product analytics, including funnel measurement, engagement scoring, and retention analysis.
- Comfort with statistical reasoning including significance, confidence, and variance.
- Proficiency in modern data infrastructure including cloud data warehouses (e.g., BigQuery) and ETL/ELT tools.
- Hands-on experience with dbt model development and maintenance.
- Experience with modern BI/visualization tools like Looker, ThoughtSpot, or Omni.
- Ability to articulate complex analytical concepts to both technical and non-technical stakeholders.
- Experience leveraging AI/LLM tools for code development and analysis acceleration.
- Strong understanding of B2B SaaS metrics such as NRR/GRR, expansion, and churn.
Responsibilities
- Design, define, and maintain product KPIs and engagement milestones across the user journey.
- Develop foundational product and usage data assets, including governed dbt models and semantic layers.
- Provide actionable insights from complex datasets to influence roadmap prioritization and feature investment.
- Build user-friendly dashboards and self-service analytics for engagement health, feature adoption, and activation performance.
- Partner with Product, Engineering, Design, Sales, and CS to translate requirements into clear data deliverables.
- Conduct deep-dive technical analyses to diagnose product challenges such as churn risk and onboarding drop-off.
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