Senior Data Analyst

cyberu

2d•$89,200 - $142,700•Remote

About The Position

Scale GTM excellence with deeper, predictive insights that improve revenue durability, forecast confidence, and post-sale execution. The Senior Analyst, Customer Retention & Expansion sits within Cornerstone’s centralized Revenue Operations Analytics COE and plays a critical role in improving gross and net retention, churn mitigation, renewal execution, and expansion outcomes across the post-sale lifecycle. This role partners globally with Customer Success, Sales, Finance, and GTM leadership to translate retention and expansion data into actionable insights, trusted analytics, and operationalized predictive signals that inform strategy and in-quarter execution. This is a hands-on, high-impact individual contributor role for an analytically rigorous operator who thrives at the intersection of data, GTM strategy, and decision-making.

Requirements

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.
Strong business acumen, curiosity, and the ability to connect data to decisions through clear, concise communication.

Nice To Haves

Familiarity with Python and statistical techniques for predictive or diagnostic analysis (e.g., regression, propensity analysis) preferred.

Responsibilities

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.
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.
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.
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.
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.