Senior Data Analyst, Enterprise

We’re looking for a Senior Data Analyst to be a key analytical partner to our Customer Success organization and our product-led, digital customer journey. You’ll shape how the business understands what drives adoption, retention, and expansion, analyzing how customers move from sign-up to activation, engagement, conversion, expansion, and renewal, and turning that into clear, actionable insight on the growth levers leadership can act on. Sitting within our centralized analytics function, you’ll work closely with Customer Success, Product, Growth, RevOps, and Data Engineering, bringing strategic thinking, deep PLG expertise, and the ability to turn complex data into clear recommendations that move the business forward. You’ll help define how digital and scaled success programs are measured, size opportunities, show where to invest next, and help shape the data foundations that underpin our AI and automation capabilities.

Responsibilities

Be a key analytical partner to the Customer Success organization and product-led, digital customer journey; Shape how the business understands what drives adoption, retention, and expansion; Analyze how customers move from sign-up to activation, engagement, conversion, expansion, and renewal; Turn complex data into clear, actionable insight on growth levers leadership can act on; Work closely with Customer Success, Product, Growth, RevOps, and Data Engineering; Define how digital and scaled success programs are measured; Size opportunities and show where to invest next; Help shape the data foundations that underpin AI and automation capabilities

Requirements

5+ years in analytics within complex B2B SaaS environments; Strong PLG and customer lifecycle expertise, including activation, PQLs, cohort analysis, retention, churn, expansion, and growth modeling; Experience partnering with Customer Success, Product, and Growth stakeholders and translating open-ended business questions into analytical frameworks; Ability to synthesize complex analysis into clear recommendations and communicate them to senior leaders, influencing decisions and priorities; Experience with experimentation (A/B testing), statistical modeling, or predictive techniques (e.g., churn or propensity modeling) in a business context; Advanced SQL and strong experience with large-scale analytical datasets, including product usage and event data; Hands-on experience with modern AI/BI tools (Hex, Omni, Claude, Dust, or similar); Comfort in modern cloud data ecosystems: Snowflake, Databricks, dbt; Experience working with GTM and customer platforms such as Salesforce and a CS platform (Gainsight, or similar)

Nice to have

Experience in a product-led or self-serve motion; B2C or hybrid B2B/B2C experience; Familiarity with product analytics tools (Amplitude, Segment, or similar)

Benefits

Health, dental, 401k and other benefits (US); Health, dental, RRSP and other benefits (Canada); Generous paid time off; Equity grant / RSU program; Incentive programs where applicable; Maternity and parental leave top-up programs; Retirement matching program; Free 1Password account; Paid volunteer days; Peer-to-peer recognition through Bonusly; Remote-first work environment