Lead Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Analyst based in United States.

As a Lead Data Analyst, you will play a strategic role in turning complex data into decisions that shape both product direction and customer outcomes.

You will own critical measurement frameworks covering product adoption, engagement, retention, and customer health.

Working across product, engineering, design, customer success, and sales, you will ensure data is actionable and accessible to diverse audiences.

You’ll lead end-to-end analytics for new initiatives, from defining success metrics and instrumentation through analysis and storytelling.

The role combines hands-on technical work with stakeholder leadership, process improvement, and long-term data strategy.

You’ll also help strengthen the analytics function by mentoring colleagues and establishing scalable, efficient ways of working.

This is an autonomous, high-impact opportunity for someone who enjoys solving ambiguous problems and using data to drive meaningful change.

Accountabilities:

• Own end-to-end measurement for new product initiatives, including defining success metrics, supporting instrumentation, and analyzing adoption, engagement, retention, and other key outcomes.
• Identify opportunities to automate, scale, and improve data processes, governance, and recurring analytical workflows.
• Serve as a data subject-matter expert, helping internal teams understand and effectively use data in their decision-making.
• Partner with product managers, designers, and engineers throughout the product lifecycle, using insights to inform strategy, improve user journeys, and guide product development.
• Collaborate with customer success and sales teams to demonstrate product impact, develop customer-facing analyses, and create compelling narratives for QBRs and executive reviews.
• Investigate employee health, wellbeing, and customer trends to uncover opportunities for product, data, and customer experience improvements.
• Translate complex datasets and analytical findings into concise, actionable insights that can be understood by technical and nontechnical stakeholders.
• Work collaboratively with other analysts to establish a holistic approach to stakeholder data needs and contribute to long-term analytics strategy.
• Mentor and coach analysts, share best practices, and help elevate the team's technical and analytical capabilities.
• Take ownership of ambiguous projects and develop scalable solutions that address both immediate business needs and longer-term operational improvements.

Requirements:

• 5+ years of experience as a product analyst, customer analyst, or in a closely related analytical role, ideally within a fast-paced startup, health-tech, or B2B SaaS environment.
• Demonstrated experience managing customer-facing or senior stakeholder relationships, with backgrounds in consulting, B2B SaaS, or similar environments particularly relevant.
• Strong hands-on SQL experience, with experience applying SQL transformations through dbt preferred.
• Experience using Python or R for data analysis and statistical work.
• Familiarity with modern data-stack technologies; experience with Databricks, dbt, and Looker is particularly relevant.
• Experience building, maintaining, or improving automated systems and processes for recurring data requirements is preferred.
• Ability to transform complex datasets into clear, practical insights and communicate findings effectively to executives, customers, engineers, and other audiences.
• Strong understanding of analytical methodologies, data processes, and measurement frameworks, with an ability to connect metrics to broader business and product objectives.
• Proven ability to identify opportunities for better data governance, more efficient workflows, and scalable analytical solutions.
• Highly self-directed and comfortable taking ownership of projects from definition through delivery in an environment where priorities and requirements may be ambiguous.
• Collaborative mindset with strong stakeholder-management, communication, mentoring, and problem-solving skills.

Benefits:

• Competitive base compensation: $145,000-$175,000, with the final offer determined by experience, expertise, and other relevant factors.
• Additional compensation: Performance bonus and equity as part of the overall compensation package.
• Health coverage: Medical, dental, and vision insurance.
• Retirement benefits: 401(k) program with company match.
• Generous paid time off: Programs designed to support meaningful time away from work and recovery.
• Thrive Time: Additional paid time off following major projects or particularly intensive work periods to encourage genuine rest and recharge.
• Remote work: Remote position based in the United States.
• Mission-driven environment: Opportunity to contribute to technology focused on improving health, wellbeing, resilience, and performance at scale.
• Career development: Opportunity to grow professionally while helping shape data strategy, analytics practices, and business growth.
• Inclusive culture: A supportive, human-centered environment committed to equal opportunity and a welcoming workplace.