Staff Analytics Engineer

Responsibilities

• Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics.
• Collaborate with stakeholders within the GTM Operations team and Finance to define, document, and maintain alignment on key business metrics and data definitions.
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review.
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences.

Qualifications

Required:

• Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment.
• Advanced expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using dbt.
• Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment.
• Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability.
• Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences.

Nice-to-Haves:

• Direct experience supporting GTM or sales analytics in a SaaS environment.