Data Analyst II- Trust & Safety

Pinterest•Chicago, IL

28d•Hybrid

About The Position

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Data Analyst to join our Data and Analytics team within the Trust & Safety Organization to support us to work on Proactive Analytical projects. The Data and Analytics team mission is to provide accurate, timely and insightful operational data that empowers partner teams to make informed decisions that keep Pinterest safe and loved. The team focuses on reporting, visualizations, proactive analytical insights, statistical insights and supports XFN teams to make better decisions, monitor how effectively we're solving issues for Pinners, and identify ways to do better.

Requirements

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.
Exposure to using Python or similar programming language.
Creativity in developing new processes, conducting analyses and providing recommendations.
4+ years of relevant experience in the field of Data and Analytics.
Bachelor's degree in a relevant field or equivalent experience.

Responsibilities

Conduct analyses and provide technical guidance to support Trust & Safety teams.
Develop metrics, reporting structures and dashboards that help measure and improve operational performance.
Partner with other technical team members to standardize and improve existing data sources and reporting processes.
Identify operational pain points and areas of opportunity and leverage analytics to generate solutions and recommendations.
Collaborate with cross-functional teams such as engineering, product, and policy, to improve user experience, drive operational improvements and create as well as automate reporting.
Use various technologies (AI or other) to improve team efficiency and speed to deliver solutions.

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