Senior Data Analyst

ically rigorous operator who thrives at the intersection of data, GTM strategy, and decision-making.

In this role you will...

1. Churn & Expansion Analytics

• Own analytical frameworks for gross and net retention, churn, renewals, and expansion across regions, segments, and GTM motions (Enterprise, Mid-Market, SMB; New Logo vs. Expansion).
  • Build cohort-based and lifecycle analyses to isolate structural drivers of retention performance versus timing, mix, and coverage effects.
  • Partner with Customer Success, Sales, and Finance to align bookings, renewals, and expansion analytics into a single, trusted view of post-sale performance.

2. Predictive & Diagnostic Analytics (Operationalized)

• Develop and apply predictive and diagnostic analytics (e.g., churn risk, renewal prioritization, expansion propensity) using SQL, Snowflake, and Python.
  • Operationalize predictive outputs into repeatable workflows such as renewal focus lists, risk segmentation, and forecast support materials.
  • Partner with Data Governance and Business Intelligence, where applicable, to support the movement of advanced analytics into production reporting or operational processes.
  • Apply scenario modeling to support forecast reviews, renewal deep dives, and in-quarter risk management.

3. Snowflake & In-Database Analytics

• Leverage Snowflake and in-database analytics capabilities (including Snowflake Cortex where appropriate) to create scalable, repeatable scoring and insight outputs.
  • Build curated feature sets and analytical views that enable consistent use of retention and expansion signals across dashboards and analyses.

4. Data Marts & Domain Data Quality

• Design and build domain-specific data marts in Snowflake to support retention, renewal, and expansion analytics.
  • Own metric definitions, analytical logic, and data quality for the retention and expansion analytics domain, ensuring consistency and trust across leadership reporting.
  • Proactively identify data issues, investigate root causes, and partner with Systems, BI, and Finance teams to resolve discrepancies.

5. Executive Storytelling & Operating Cadence

• Translate complex analyses into clear, executive-ready narratives for forecast reviews, QBRs, and renewal deep dives.
  • Proactively surface emerging risks, trends, and opportunities before they appear in lagging results.
  • Contribute insights and analysis that inform recurring operating cadences led by RevOps and GTM leadership.

You've got what it takes if you've got...

• 3-5 years of experience in Revenue Operations, GTM Analytics, Customer Analytics, or a related BI/Analytics role within a B2B SaaS or subscription business.
  • Demonstrated experience analyzing retention, churn, renewals, and expansion metrics.
  • Strong SQL skills and experience with cohorting, lifecycle analysis, and time-based modeling.
  • Experience building and maintaining dashboards in BI tools (Tableau preferred) and working directly with CRM and financial data.
  • Familiarity with Python and statistical techniques for predictive or diagnostic analysis (e.g., regression, propensity analysis) preferred.
  • Strong business acumen, curiosity, and the ability to connect data to decisions through clear, concise communication.