Geoffrey Warrington

About Geoffrey Warrington

A leader in data with an expertise in analytics, data engineering, SQL & Python development, and business intelligence supporting commercial and federal clients. Possesses experience and specialization in data management, visualizations, and modeling, as well as proficiency in business intelligence, business development, and client management & delivery. Outstanding communication skills, dedicated to maintaining up-to-date IT skills and knowledge, as well as learning additional technologies, programming languages, and tooling. Certified Project Management Professional (PMP) and Certified Scrum Master (CSM).Strengths- Achiever- Futuristic- Competition- Harmony- Individualization

Experience

1. Data Analytics, Global Business, Product, & Sales

   Pinterest

   Oct 2024 — Present · New York, NY, US

   The end-to-end analytics lead and strategic partner to global executive leadership, defining business, sales, product, and customer enablement metrics to drive performance insights and organizational strategy.• Led analytics initiatives from problem definition through delivery of scalable, executive-ready data solutions in partnership with business, product, and engineering teams to support revenue, retention, and growth objectives.• Drive cross-functional alignment on success metrics and growth opportunities by delivering self-service reporting and insights using SQL and Tableau for executive stakeholders.• Conduct advanced analyses across business performance, product usage, and the customer lifecycle, identifying key growth and retention levers that contributed to $250M+ in incremental revenue.• Translate complex data into clear KPIs, strategic roadmaps, and executive narratives to guide prioritization of performance improvements and retention initiatives.• Partner with engineering teams to design scalable data infrastructure and analytics pipelines using Snowflake, Spark, Hive, and Airflow, enabling high-availability datasets for global analytics use cases.• Streamline and automate analytics workflows using AI-enabled tooling to improve operational efficiency, scalability, and reporting visibility across teams.• Serve as a cross-functional analytics SME, guiding teams on best practices for data modeling, insight development, and aligning analytics deliverables with core business objectives.• Mentored analysts, prioritizing analytics workstreams across multiple business and product portfolios while developing team capabilities in SQL, analysis, and executive communication.

Education

• University of Maryland

  Bachelor of Science - BS, Mechanical Engineering