Description

You play a key role in shaping product strategy through data analysis and experimentation. Your responsibilities include defining metrics, enhancing data integrity, and mentoring analysts to improve analytical capabilities across the organization.

Requirements

• •9+ years of experience in product analytics
• •Experience in Search & Recommendations systems
• •Expert proficiency in SQL and Python
• •Expertise in statistical methods for experimental design
• •Extensive experience with large-scale user behavior data
• •Proficiency with data visualization tools
• •Ability to influence and collaborate with stakeholders
• •Experience with customer behavior tracking platforms
• •Experience with Airflow, DBT, or data pipelining tools
• •Familiarity with recommender systems or ML models
• •Experience scaling analytics processes across teams

Tasks

• •Act as a strategic data partner to product leadership.
• •Influence product roadmap and investment decisions.
• •Identify high-impact analytical opportunities for growth.
• •Design and analyze A/B tests and experimental designs.
• •Implement advanced statistical methods for hypothesis validation.
• •Standardize and improve the experimentation framework.
• •Define and own comprehensive product metric frameworks.
• •Establish quarterly OKRs and drive alignment across teams.
• •Ensure clear, measurable goals align with business outcomes.
• •Improve reliability and completeness of user behavior tracking.
• •Resolve data quality issues at scale.
• •Build and maintain robust data pipelines and dashboards.
• •Empower teams to make data-driven decisions independently.
• •Conduct exploratory analyses on large-scale user behavior data.
• •Uncover insights and inform product strategy.
• •Mentor fellow product analysts through knowledge sharing.
• •Drive analytical excellence within the team and organization.

Tools & Technologies

Benefits