Lead Data Analyst

Accountabilities

• • Define, develop, and own measurement frameworks for product initiatives, including success metrics, instrumentation, adoption, engagement, retention, and customer health.
  • Identify opportunities to automate, scale, and improve recurring data processes, creating more efficient and reliable ways to meet stakeholder needs.
  • Serve as a data subject-matter expert, helping internal teams understand and effectively use data while representing data priorities across the organization.
  • Conduct analyses that deepen understanding of employee health and wellbeing trends, customer interests, user journeys, and product performance.
  • Partner with Product Managers, Designers, and Engineers throughout the product lifecycle to ensure data informs discovery, prioritization, delivery, and evaluation.
  • Collaborate with Customer Success and Sales to demonstrate product impact, develop customer-facing insights, and create compelling narratives for QBRs and executive reviews.
  • Translate complex datasets into clear, actionable insights and communicate findings effectively to technical and non-technical audiences.
  • Work with fellow analysts to develop a holistic approach to stakeholder data needs and establish scalable, long-term analytics practices.
  • Improve data governance, documentation, workflows, and reusable analytical assets to reduce complexity and improve consistency.
  • Mentor and coach analysts, sharing technical expertise and helping raise the quality and impact of the analytics team.
  • Independently identify and lead projects that address both immediate business needs and longer-term opportunities to improve data capabilities.

  Requirements

  • 5+ years of experience as a Product Analyst, Customer Analyst, or in a similar analytical role, ideally within a fast-paced startup, health-tech, or B2B SaaS environment.
  • Demonstrated ownership of customer-facing initiatives and stakeholder relationships, particularly in consulting, SaaS, or other collaborative business environments.
  • Strong hands-on SQL expertise, ideally including experience with SQL transformations using dbt.
  • Experience using Python or R for data analysis, including statistical analysis and interpretation.
  • Experience with modern data stack technologies such as Databricks, dbt, and Looker.
  • Proven ability to translate complex datasets into concise, actionable insights that can be understood by executives, customers, and non-technical stakeholders.
  • Experience designing measurement strategies for products or customer programs, including defining KPIs, instrumentation requirements, and analytical frameworks.
  • Demonstrated ability to identify opportunities for long-term process improvements, data governance, automation, and scalable analytical solutions.
  • Experience building, maintaining, or improving automated systems and processes for recurring data needs is preferred.
  • Strong stakeholder management and communication skills, with the ability to work effectively across Product, Engineering, Design, Sales, Customer Success, and Analytics.
  • Self-directed and comfortable working autonomously in ambiguous environments, with a strong ability to bring structure and clarity to complex problems.
  • Collaborative mindset with a commitment to sharing knowledge, improving team practices, and raising the overall impact of analytics.
  • Strong curiosity, critical thinking, and problem-solving abilities, with a focus on understanding the underlying business need rather than simply responding to a stated request.

  Benefits

  • Competitive base compensation of approximately $145,000–$175,000 annually, depending on experience, expertise, and other relevant factors.
  • Additional performance bonus and equity opportunities as part of the overall compensation package.
  • Medical, dental, and vision insurance.
  • 401(k) program with company match.
  • Generous paid time-off programs designed to support rest and recovery.
  • Additional paid time off through a dedicated recharge benefit following major projects or particularly demanding periods.
  • Mission-driven environment focused on improving health, wellbeing, and resilience for people around the world.
  • Opportunities for professional development, career growth, and meaningful influence on product and business strategy.
  • Supportive, human-centered culture with wellness-focused benefits and a strong commitment to inclusion.
  • Commitment to equal employment opportunity and reasonable accommodations throughout the hiring process.