Data Scientist, Analytics Enablement

Define and maintain trusted metrics and analytical datasets for revenue, usage, customer performance, compute consumption, and margin, with clear definitions and appropriate product…

Build automated dashboards and recurring reporting that help Finance leaders and operating teams understand performance, spot changes, and prioritize investigation.

Explain movements in business results and variances against expectations by examining underlying drivers, validating data quality, and distinguishing evidence from assumptions.

Translate ambiguous questions about growth, retention, monetization, pricing, and resource efficiency into structured analyses and practical recommendations.

Have strong SQL and analytical data-modeling skills, and experience turning large, complex datasets into reliable analyses and reusable data products.

Can reason carefully about metrics, cohorts, denominators, measurement changes, and uncertainty, and investigate whether an unexpected result reflects the business or the data.

Have built dashboards or recurring reporting used by business partners, and can explain the decisions they enabled.

Bring sound business judgment and can independently scope an ambiguous problem, prioritize the work, and deliver an end-to-end solution.