Senior Analytics Engineer

Qualifications

• 8+ years of experience in analytics engineering, data engineering, or BI engineering, with at least 2 years operating at a senior or lead level in a SaaS or technology environment.
• Expert SQL proficiency including advanced window functions, performance tuning, and modeling patterns for large fact and dimension tables in Snowflake. Experience with Amazon Athena (Presto/Trino) a plus.
• Deep Snowflake expertise warehouse sizing and cost management, RBAC, clustering, materialization strategy, query profiling, and Snowpipe/Streams/Tasks.
• Production dbt experience at scale multi-layer project design, macros, exposures, snapshots, tests, packages, and integration with CI/CD (GitHub Actions or equivalent).
• Strong Tableau skills or similar data visualization tools including LOD expressions, performance optimization, and governance of published data sources and dashboards.
• Proven track record designing and operating a semantic or metrics layer used by executives, with the judgment to navigate competing metric definitions across Product, Finance, and GTM.
• Experience modeling SaaS commercial data ARR, ARPU, retention, churn, expansion and reconciling product telemetry with Salesforce and finance source systems.
• Track record of mentoring Analysts and raising the bar on a team.
• Excellent written and verbal communication; able to brief a VP in five minutes and a board member in one slide.
• Bias toward treating analytics as a product: clear users, SLAs, versioning, and a roadmap.

Nice to Have

Belonging at Mimecast