Senior Analytics Engineer

Overview

Senior Analytics Engineer on the R&D Data Science and Analytics team, responsible for building a formal analytics data layer and accelerating analyst development velocity.

What you'll do

• Design and implement a formal analytics data layer using AWS Glue, Athena / Presto, and LookML.
• Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definitions and data lineage.
• Develop and maintain automated data reconciliation and quality checks to identify and resolve discrepancies in critical reports and dashboards.
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions to technical and non-technical audiences.
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review.

What you'll need

• 4-5 years of professional experience in analytics engineering, data engineering, or a related discipline.
• Strong expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies.
• 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 owning ambiguous projects from beginning to end with minimal guidance.
• Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences.

Nice to have

• 5+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, ideally in a B2B SaaS environment.
• Expertise in Python; distributed computing technologies such as Hive, Presto, and Spark; and dashboarding tools such as Looker or Tableau.
• Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability.
• Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization.

Details

• Remote role; not eligible to be hired in CA, CT, NJ, NY, PA, or WA.
• May be required to report in person on an ad-hoc basis for team gatherings, functional off-sites, or customer meetings.
• May be required to travel occasionally for project or team in-person meetings.
• Estimated pay ranges vary by location (see compensation details in the posting).