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About the Role
Serve as a Strategic Advisor and Lead Analyst for the Compute Trust and Safety (T&S) organization, taking ownership of executive reporting and operational insights. Handle ambiguous, high-visibility, and high-urgency analytical requests to identify and size operational improvement opportunities, develop scenario plans, and establish performance metrics. Operate with minimal guidance, leveraging a full spectrum of problem-solving skills and advocating for data-driven decision-making by crafting compelling narratives and influencing leadership.
Responsibilities
- Lead and execute complex, high-visibility analytics requests for the Compute Trust and Safety organization, navigating ambiguity with minimal guidance.
- Manage and evolve executive reporting and operational insights, ensuring leadership has clear, actionable visibility into operational health and risk.
- Identify, size, and strategically propose operational improvement opportunities, utilizing robust scenario planning and capacity modeling for human review operations.
- Act as a trusted strategic advisor to trust and safety leadership, analyzing multifaceted situations to determine the precise measures, metrics, and data required to build and support strategic opinions.
- Translate complex analytical findings into compelling, data-driven narratives that influence decision-makers and drive policy and operational changes.
Requirements
- Bachelor's degree with emphasis on coursework of a quantitative nature (e.g., Engineering, Computer Science, Mathematics, Physics, Statistics, Economics or Finance), or equivalent practical experience.
- 7 years of experience in business intelligence or data analytics.
- Experience in statistical programming languages (e.g., Python, R) for advanced diagnostic, predictive, and prescriptive modeling.
- Master's degree in Business, Data Science, Operations, or a related quantitative discipline.
- Experience working within trust and safety, risk management, or complex human review operations analytics.
- Experience defining metrics, structuring ambiguous problems, and executing analytical projects from end-to-end.
- Track record of presenting complex data effectively to executive stakeholders and cross-functional teams.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Skills
- Python
- R
- Statistical programming
- Business intelligence
- Data analytics
- Advanced diagnostic modeling
- Predictive modeling
- Prescriptive modeling
- Metrics definition
- Problem structuring
- Analytical project execution
- Data presentation
- Problem-solving
- Critical thinking
- Attention to detail
Experience Level
- 7 years of experience
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $141000 - $205000 (USD)
Benefits
- 15% bonus target
- Equity
- Benefits