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Role overview
About the role
Our client, a scale-up in B2B SaaS, is looking for a Senior Data Analyst to turn product and revenue data into decisions the leadership team acts on every week. You will sit between analytics engineering and commercial teams, with direct access to stakeholders in growth, finance, and customer success.
What you'll do
- Define metrics, dashboards, and self-serve reporting for core business questions.
- Run deep-dive analyses on churn, expansion, funnel conversion, and pricing experiments.
- Partner with data engineering to improve data quality and semantic layers in the warehouse.
- Present findings clearly to non-technical audiences and recommend next steps.
What we're looking for
- 4+ years in analytics, BI, or data science in a product or subscription business.
- Expert SQL and strong skills in a modern BI stack (Looker, Metabase, or similar).
- Statistical literacy for A/B tests and cohort analysis.
- Structured thinking and attention to narrative when sharing insights.
Nice to have
- Python or R for ad hoc analysis and automation.
- Experience with dbt, Snowflake, or BigQuery.
- Domain knowledge in SaaS metrics (NRR, LTV, CAC).