Data Analyst, Snap Inc.

• Proven leadership capabilities with substantial experience driving strategic data-driven projects and initiatives
• Expert proficiency in SQL and Python, with the ability to design complex queries and maintain robust data architectures
• Strong understanding of advanced statistical methods, data modeling, and growth accounting methodologies
• Excellent strategic thinking skills with the ability to interpret market insights and transform them into actionable business strategies
• Superior communication skills, capable of crafting compelling narratives that articulate data insights across the organization
• Bachelor's degree in analytics, data science, information systems, computer science, business, marketing, communications, economics, or a related area of study or equivalent years of experience
• 4+ years of relevant professional experience in an analytical field
• 3+ years of experience using SQL

Desirable

• The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value
• As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products
• We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data
• Drive impactful enhancements across Snap’s data ecosystem, optimizing ETL processes and data distribution while providing robust documentation and governance
• Deliver strategic insights by deeply understanding key business metrics, influencing product development and audience growth strategies
• Lead the design, execution, and automation of A/B and multivariate experiments, offering actionable business recommendations through robust data analysis
• Collaborate with cross-functional teams, including Data Engineering, Product, and Business units, to develop high-impact analytical solutions that drive strategic decision-making
• Enhance and maintain advanced data frameworks that optimize reporting and monitor key performance indicators, ensuring data accuracy and accessibility
• Proactively develop data quality checks, ensuring rigorous QA processes to maintain data integrity and reliability
• Create and manage scalable data pipelines, performing SQL and ETL tuning to increase efficiency and reduce system costs
• Lead the creation of detailed documentation, metadata management, and facilitate comprehensive data adoption strategies
• Communicate complex data stories to various stakeholders using advanced visualization techniques, elevating data literacy and driving business impact