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Tier-1 employer, popular mid-level analytics title, metro location, and broad required skills increase competition.
Requires SaaS-specific KPIs and Customer Success domain knowledge, limiting cross-industry transfer despite transferable analytics skills.
Explicit 3+ years, SaaS domain requirement, and mandatory Snowflake/SQL plus BI tooling create strict filters.
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Develop and maintain production-grade SQL models, data pipelines, and dashboards supporting retention, expansion, and growth decisions.
Partner cross-functionally with Data Engineering, Data Science, and business units to define reliable metrics and deliver actionable insights.
Leverage AI-assisted analytics tools and best practices to optimize data quality, metric consistency, and executive reporting.
3+ years relevant experience in a SaaS environment.
Strong SQL skills with experience in Snowflake or similar cloud data warehouses.
Proven experience building production-grade analytics assets and designing Power BI/Tableau dashboards.
Strong understanding of SaaS KPIs like retention, expansion, ARR, renewals, engagement, NPS, CSAT.
Experienced analytics engineer blending technical expertise with SaaS business acumen to influence strategic decision-making.
Demonstrates structured analytical thinking and builds scalable, maintainable analytics solutions with high data governance standards.
Collaborates effectively across technical and business teams, capable of communicating complex analyses clearly to senior leadership.