Observability Analyst

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

Data is the lifeblood of WHOOP and our innovative data platforms are the game-changing connective tissue flowing this vital resource to teams, applications, and insightful solutions that power real-time AI, cutting-edge science, and bold visionary decision-making. As an Observability Analyst at WHOOP, you will play a crucial role in ensuring the reliability, accuracy, and performance of our data infrastructure including customer facing ML Models. You will be responsible for developing and implementing monitoring, alerting, and quality assurance solutions to guarantee the integrity and availability of our data pipelines and analytics systems.

RESPONSIBLITIES:

• Design and Implement Monitoring Solutions: Develop and deploy robust monitoring and observability tools to track data ingestion, processing, ML model performanceML models Drift and consumption across our data infrastructure.
• Provide tools for Analyze Data Quality: Enable internal stakeholders to Evaluate data quality metrics, identify anomalies, and implement measures to address data integrity issues.
• Create Alerting Mechanisms: Define and configure alerting mechanisms to proactively detect and respond to data pipeline failures, latency issues, and anomalies.
• Collaborate Cross-functionally: Work closely with cross-functional teams to understand data pipelines, requirements, and use cases, and collaborate on implementing solutions to enhance data observability.
• Automate Remediation Processes: Develop automation scripts and workflows to streamline data validation, error handling, and incident response procedures.
• Perform Root Cause Analysis: Investigate and troubleshoot data infrastructure issues, perform root cause analysis, and implement preventive measures to minimize future occurrences.
• Stay Current with Industry Trends: Keep abreast of emerging technologies, best practices, and trends in data observability, and incorporate relevant innovations into our data engineering processes.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• Proven experience working as a Data Analyst, Data Scientist or a similar role with a focus on data observability and reliability.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Proficiency with SQL.
• Familiarity with data storage and processing technologies such as Snowflake, S3, Spark, Kafka, and relational databases.
• Proven understanding of ML Model lifecycles.
• Expertise in designing and implementing monitoring and alerting solutions using tools like HEX, Grafana, Datadog, or similar.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
• Experience with AWS cloud platform.

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.