Product Analytics

Product Analytics Strategy & Foundations:

• Structure complex and ambiguous problems into projects where data requires disambiguation.
• Own project delivery from end-to-end, including planning the roadmap and managing resources (people and data).
• Drive the development of new and insightful analytical approaches and statistical techniques to justify the validity of results.

Partnering & Influence:

• Lead large meetings with senior management with a focus on key decisions to be taken.
• Arbitrate conflicts within projects in scope, both inside and outside of the team, ensuring alignment across functions.
• Manage sensitive situations and relationships in other teams or functions without damage to the relationship or project delivery.

Metrics, Experimentation & Insights:

• Consistently lead and mastermind the hypothesis generation process to drive high-quality, MECE (Mutually Exclusive, Collectively Exhaustive) hypothesis trees.
• Guarantee analyses are grounded in reality while effectively anticipating and resolving roadblocks before they occur.
• Exercise judgment in selecting methods, techniques, and evaluation criteria to distinguish correlation from causation in a real-time environment.