Senior Observability Analyst

At WHOOP, we are on a mission to unlock human performance. WHOOP empowers its members to take data-driven actions that enhance their ability to perform at a higher level while gaining a deep understanding of their bodies and unique physiology.

Data is the lifeblood of WHOOP, and our innovative ML platform serves as the game-changing connective tissue that links this vital resource to teams, applications, and insightful solutions. This platform powers real-time ML processes, cutting-edge science, and bold, visionary decision-making.

As a Senior Observability Analyst at WHOOP, you will play a crucial role in developing and maintaining the platform that ensures our member-facing physiological algorithms function correctly across a diverse and evolving member base. Additionally, you will ensure that key stakeholders have timely access to the data that supports these efforts.

RESPONSIBILITIES:

• Develop and deploy robust monitoring and observability tools to track offline and production ML model performance.
• Enable internal stakeholders to evaluate data quality metrics, identify anomalies, and implement corrective measures.
• Collaborate with cross-functional teams to understand requirements and use cases, contributing to solution design.
• Partner closely with cross-functional teams to support new algorithm rollouts, ensuring real-world performance aligns with expectations in real time.
• Stay informed on emerging technologies, best practices, and trends in data observability, incorporating relevant innovations into our data engineering processes.
• Opportunity to grow into a manager role to mentor another analyst fostering their growth through hands-on guidance and leadership
• Leverage AI tools such as Copilot, ChatGPT, and others to drive efficiency, automate workflows, and foster innovation in observability and data quality monitoring.

QUALIFICATIONS:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong analytical and problem-solving skills, with the ability to interpret complex datasets and derive actionable insights.
• Experience with physiological data preferred.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.
• Experience with data visualization tools such as Sigma, HEX, or similar.
• Proven experience writing SQL, SNOWFLAKE preferred.
• Experience with AWS cloud platform.
• Keen attention to detail and a structured approach to problem-solving.
• Knowledge of machine learning techniques and methodologies is a plus.

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.