Staff Data Analyst - Seattle Washington

Company: MongoDB
Location: Seattle, Washington
Posted On: 01/30/2025

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.The Staff Product Analyst is a strategic leader in our expanding Data Analytics team, responsible for independently leading high-impact projects that address complex business questions. As a full-stack analyst, this role combines a wide range of analytical expertise to deliver insights that guide company strategy. Partnering with Product, Engineering, and other teams, the Staff Product Analyst drives data-driven decisions across the organization, bringing technical depth, ownership, and accountability in a fast-paced environment.We are looking to speak to candidates who are based in Seattle, WA for our hybrid working model.Responsibilities

• Define KPIs and diagnostic metrics to track product health and enhance user experience
• Surface insights to guide executive decisions and drive strategic priorities
• Leverage advanced analytics to solve complex product questions, providing actionable recommendations
• Serve as an analytical and technical thought partner across product, analytics, and cross-functional teams
• Build scalable tools to streamline processes, improve collaboration, and optimize data workflows
• Drive process improvements, establish best practices, and promote a data-driven cultureSkills & attributes
  • 6+ years of hands-on analytics experience, ideally within product analytics teams at tech companies
  • Advanced SQL skills and proficiency with Python
  • Advanced analytical expertise in causal inference, machine learning, statistics, time series, and A/B testing
  • Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization
  • Proven accountability and ownership, driving projects independently to successful completion with minimal guidance
  • Commitment to fostering a collaborative, enjoyable, and psychologically safe work environment
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