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Senior metro analytics role with moderate brand and broad skill requirements.
Requires SaaS commercial metric modeling and Snowflake/dbt expertise, limiting cross-industry portability.
Explicit 8+ years, senior leadership expectation and mandatory Snowflake/dbt/Tableau skills.
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Design, build, and maintain scalable data pipelines and analytics infrastructure powering core product and commercial KPIs for Mimecast.
Own the KPI definition and governance, executive reporting including board decks and dashboards, and data quality to ensure trust and accuracy in metrics used by senior leaders.
Lead and mentor the Analytics Engineering team, establish technical standards, and influence cross-functional analytics priorities aligned with business goals.
8+ years in analytics engineering, data engineering, or BI engineering with at least 2 years in a senior or lead role in SaaS/technology.
Expert SQL skills especially with advanced window functions and performance tuning on Snowflake.
Production experience with dbt including multi-layer projects, testing, documentation, version control, and CI/CD integration.
Strong Tableau or equivalent data visualization skills with experience governing published data sources and dashboards.
Experienced in building and operating semantic or metrics layers used by executives across Product, Finance, and GTM functions, capable of resolving conflicting metric definitions.
Proficient in modeling SaaS commercial metrics such as ARR, ARPU, retention, churn, integrating data from product telemetry, Salesforce, and finance systems.
Able to act as a technical and strategic lead, mentoring mid-level engineers and partnering directly with senior executives to influence data-driven decision making.