Data Analyst, Product Analytics

Responsibilities

• Partner with Product and other technical stakeholders to prioritize analytical needs and support product launches, decision-making, and ad hoc requests through clear, data-driven insights.
• Develop, maintain, and evolve core product and performance reporting, including business-critical dashboards built on scalable, reliable datasets.
• Support experimentation and A/B testing through thoughtful design, execution, analysis, and clear, actionable conclusions.
• Create compelling data visualizations and storytelling assets to effectively communicate insights to diverse audiences.
• Collaborate with senior and staff analysts on complex, high-impact analytical projects, including data modeling and OKR development.
• Work closely with data scientists and data engineers to improve data availability, integrity, accuracy, reliability, and logging/pipeline quality.

Requirements

• 3+ years proven experience in using analytics to tackle business problems that cross multiple product/project areas and teams, ideally in a high-growth, fast-paced environment.
• Strong SQL skills.
• Intermediate understanding of experimental design (such as A/B experiments).
• Experience building business critical dashboards/data visualizations (ideally within Hex or Looker, with strong LookML expertise).
• Experience with data modeling (dbt) or eagerness to learn.
• Love for data storytelling, creating a compelling narrative by extracting insights from data, and summarizing learnings / takeaways for executives.
• Enjoy communicating effectively and building relationships with both technical and non-technical stakeholders.
• Deeply value the importance of expanding access to mental health care.

Nice-to-Haves

• Experience in Hex or Looker with strong LookML expertise.
• Experience with data modeling using dbt.