Related skills
looker r sql python tableauπ Description
- Define and maintain product success metrics and KPI frameworks for reputation and trust-related product areas.
- Build and evolve measurement strategies that connect product changes to user behavior, engagement, and business outcomes.
- Design, execute, and analyze experiments (A/B tests and quasi-experiments), applying causal inference methods where appropriate.
- Develop and maintain dashboards and reporting to monitor product health, leading indicators, and strategic goals.
- Partner with cross-functional teams to improve data instrumentation, ensuring high-quality and reliable datasets.
- Conduct deep-dive analyses to uncover user behavior insights, friction points, and growth opportunities.
π― Requirements
- Proven ability to lead end-to-end analytics projects, from problem definition to delivering actionable insights.
- Strong SQL skills and experience working with large, complex datasets, including data validation and debugging.
- Expertise in metrics design, KPI development, and measurement strategy.
- Experience with experimentation methodologies (A/B testing) and causal inference techniques.
- Proficiency with BI tools such as Looker or Tableau, and experience with Python or R for analysis.
- Strong communication skills with the ability to present data-driven insights clearly to cross-functional stakeholders.
π Benefits
- We are committed to a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, gender, or other protected characteristics.
- If interview is recorded using BrightHire, candidates can opt out at scheduling.
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