• Design and maintain a scalable data model integrating product usage and telemetry data, customer success and support signals, and revenue data such as ARR, MRR, renewals, and pipeline • Align and normalize data across systems, including Salesforce, product systems, and support tools • Build clean, reusable datasets for analytics and BI • Define and standardize core SaaS metrics, including Net Revenue Retention (NRR), Gross Revenue Retention (GRR), expansion, contraction, churn, renewal forecasting, and pipeline coverage • Partner with Customer Success, Revenue Operations, Sales, and Finance teams to drive revenue insights • Build models to forecast usage and revenue growth, predict expansion likelihood, and identify churn and saturation risk • Apply statistical and analytical techniques such as time-series modeling, cohort analysis, regression, and probability modeling • Design dashboards in Tableau that connect product usage to revenue outcomes, surface expansion-ready and at-risk accounts, and provide visibility into renewal pipeline and performance • Ensure consistency through centralized metric definitions and SQL logic

• Lead Data Management Activities • Perform Training and Client Relationship Management • Develop and maintain Data Management Project Plan • Document deviations from the Plan, log and report issues • Primary contact for data management activities • Responsible for planning and implementing data management timelines • Assist with study-level resource planning • Provide training to new data management personnel • Perform QC review of work performed by less experienced data management personnel • Create and maintain clinical trial Data Management Study Binders

• Plan, manage, control, and perform data processing and management activities for assigned projects • Lead assigned data processing and management projects by applying project management skills • Specify database validation checks for assigned studies • Define and monitor clinical trial data flow and quality control (QC) processes • Train and supervise Data Entry personnel and junior data management personnel

Responsible for case processing of (S)AE reports, performing case assessments, coordinating with QA on product complaints, and ensuring compliance through data reconciliation and follow-up activities with stakeholders.