Senior Data Analyst, Trust & Safety

Pinterest - New York, NY

Full-time - Senior

New York, NY

Professional, Scientific, and Technical Services

About the position

The Senior Data Analyst in the Trust & Safety Organization at Pinterest will play a crucial role in supporting the Legal Team and completing analytical projects that generate actionable insights. This position focuses on providing accurate and timely operational data to empower partner teams in making informed decisions that enhance the safety and user experience on Pinterest. The role involves conducting analyses, developing metrics and dashboards, and collaborating with cross-functional teams to identify operational pain points and recommend improvements.

Responsibilities

• Conduct analyses and provide technical guidance to support Enforcement Ops and Legal teams.
• Develop metrics, reporting structures, and dashboards to measure and improve operational performance.
• Partner with technical team members to standardize and improve existing data sources and reporting processes.
• Identify operational pain points and leverage analytics to generate solutions and recommendations.
• Work with limited manager guidance to proactively identify and answer complex business questions, driving process and decision-making improvements.
• Conduct in-depth analysis of large datasets to extract meaningful insights and identify trends, patterns, and anomalies.
• Create comprehensive reports and visualizations to communicate findings effectively to stakeholders and management, utilizing tools like Tableau or Power BI.
• Ensure data integrity by cleaning, validating, and transforming data as necessary, preparing it for analysis.
• Apply statistical methods and models to interpret data, perform hypothesis testing, and support decision-making processes.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.

Requirements

• At least 5-6 years of relevant experience in Data and Analytics.
• Experience using quantitative analysis to identify areas of improvement and influence business decisions.
• Demonstrated experience extracting, manipulating, and analyzing complex data using SQL or comparable languages.
• Knowledge of business intelligence tools like Tableau.
• Experience with Python.
• Creativity in developing new processes, conducting analyses, and providing recommendations.
• Experience working with non-technical stakeholders.

Nice-to-haves

• Experience in Trust & Safety.

Benefits

• Equity eligibility based on performance and location.
• Flexible work model with in-office collaboration required 1-2 times per quarter.