Data Analyst, Fay

• You're someone who has built data infrastructure at growing companies before; you know what good looks like, and you've seen what breaks at scale
• You combine deep technical execution with exceptional business judgment and executive-level communication skills
• You excel at translating complex data into clear, compelling insights that drive executive decision-making and company strategy
• Whether you're presenting to the C-suite or partnering with product leaders, you know how to distill analysis into actionable narratives that influence direction and accelerate outcomes
• This is a role for someone who thrives in 0-to-1 environments, has lived through hypergrowth, and brings both the technical rigor and strategic thinking to build scalable data infrastructure from the ground up
• 7-10 years of experience in Data Analytics, Analytics Engineering, or Business Intelligence in high-growth tech or healthcare environments
• Proficiency in SQL with the ability to write clean, efficient queries and understand how to optimize, debug, and scale them
• Proven track record building end-to-end analytics solutions from defining metrics and building pipelines to delivering executive dashboards at companies with rapidly changing data needs
• Strong analytics engineering fundamentals including data modeling, dimensional design, and building reusable, tested data transformations
• Experience with modern data transformation and warehousing tools such as dbt, Fivetran, or Snowflake and the ability to debug issues across the pipeline
• Comfort with ambiguity and the ability to structure complex, open-ended problems into clear analytical frameworks
• Executive-level communication skills with a proven ability to translate complex data into compelling insights for the C-suite and cross-functional collaboration, influencing strategic decisions through clear storytelling, and tailoring your message to drive action across the company
• Track record in fast-paced environments with the ability to prioritize, deliver quality work under pressure, and move quickly without sacrificing rigor
• NYC or SF-based and ready to be in-office on a hybrid schedule to collaborate closely with leadership and develop a deep understanding of the business
• If you're energized by high-impact work, partnering deeply with leadership, and using data to unlock company-wide leverage, this role is for you

Desirable

• As a Data Analyst at Fay, you'll sit in the Strategic Initiatives pod as the strategic partner and analytical engine that powers decision-making across the organization
• You'll be the foundational builder of our data function, establishing the metrics, dashboards, and analytical frameworks that become the single source of truth for teams across the company
• Own data and analytics for critical business areas by partnering directly with executives and cross-functional leaders to define metrics, build analytical frameworks, and deliver insights that drive strategic decisions
• Translate data into executive-ready insights by distilling complex analysis into clear, compelling narratives that influence C-suite decision-making, shape company strategy, and communicate the "so what" with precision and impact
• Architect the data foundations by designing core KPIs, building self-service analytics infrastructure, and establishing the single source of truth that scales with the business
• Build production-grade data infrastructure by developing clean, reliable, well-documented pipelines from ingestion to transformation to reporting, following modern data engineering best practices
• Enable data-driven decision making through intuitive dashboards, self-service capabilities, and tools that give stakeholders fast access to the insights they need
• Drive impact through storytelling by translating complex analysis into clear narratives, actionable recommendations, and executive-ready insights
• Improve data quality and governance by partnering with engineering to ensure systems, pipelines, and models are accurate, consistent, and built for scale
• Surface insights proactively by identifying trends, anomalies, and opportunities before they're asked for, bringing a point of view on what matters most
• Build a culture of analytics excellence by creating documentation, enablement materials, and training that raise data literacy across the organization