Sr. Data Analyst

at  Pinterest

About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We are looking for a Senior Data Analyst in our Data and Analytics team within the Trust & Safety Organization to support us to work with the Supplier operations team and complete Proactive Analytical projects. The Data and Analytics team mission is to provide accurate, timely and insightful operational data and insights 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.

• Conduct analyses and provide technical guidance to support Enforcement and Supplier operations 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.
• Works with limited manager guidance to partner with stakeholders to proactively identify and answer more complex business questions, driving process and decision-making improvements. Their approach regularly combines business acumen, sophisticated analytical/technical approaches, and multi-phase processes. Starts to own more sophisticated decision-support questions with stakeholders and communicates “so what” that anticipates potential objections and roadmap implications.
• Data Analysis: Conduct in-depth analysis of large datasets to extract meaningful insights and identify trends, patterns, and anomalies.
• Report Generation: Create comprehensive reports and visualizations to communicate findings effectively to stakeholders and management, utilizing tools like Tableau or Power BI.
• Data Cleaning and Preparation: Ensure data integrity by cleaning, validating, and transforming data as necessary, preparing it for analysis.
• Statistical Analysis: Apply statistical methods and models to interpret data, perform hypothesis testing, and support decision-making processes.
• Collaboration and Communication: Collaborate with cross-functional teams to understand business requirements, present analysis results, and provide data-driven recommendations for improvements or optimizations.