# **Our Privacy Statement & Cookie Policy**## About the RoleIn your capacity supporting Customer Success analytics and AI enablement:* Partner with CS leaders and cross-functional stakeholders to understand goals, pain points, and the decisions analytics must enable.* Translate ambiguous requests into clear analytics requirements (scope, definitions, KPI logic, acceptance criteria, and rollout plans).* Own a prioritized CS analytics/insights roadmap; manage timelines, dependencies, tradeoffs, and stakeholder communications.* Coordinate delivery across BI, Reporting & Insights, and Data Operations to ensure high-quality, adopted outputs.* Produce recurring and ad hoc insights across the CS lifecycle, including trend/driver analysis and executive-ready storytelling.* Deliver crisp recommendations and actions (not just dashboards), highlighting opportunities, risks, and measurable next steps.* Help define and execute Customer Success AI strategy: identify and prioritize AI use cases, size impact, assess feasibility/data readiness, and define measurement.* Support responsible AI practices in partnership with IT/Security (governance, access controls, adoption).* Build measurement and analytics frameworks to support Digital CS at scale (segmentation, funnel/journey views, play/program effectiveness, and capacity/coverage modeling).* Guide teammates on data best practices (data quality, governance, and reporting standards).## Key Outcomes* Clear, decision-ready insights that drive action across the CS lifecycle (not just reporting).* A well-managed, adopted analytics roadmap that improves CS prioritization and operational execution.* Scalable Digital CS measurement (segmentation, alerts/exception-based management, journey visibility, program effectiveness).* AI use cases delivered with defined value, governance, and measurable business outcomes.* Strong cross-functional alignment across CS leaders, BI/Insights, Data Operations, and IT/Security.## About YouYou are a fit for this role if you have:* **4–8+ years** in Business Analysis, CS Ops/RevOps, Strategy & Ops, analytics, or similar roles blending stakeholder leadership and data-driven decision support.* **1–2+ years** using AI-driven analytics platforms or ML tools to deliver actionable business insights.* Strong requirements gathering and stakeholder management skills; able to take problems from ambiguity to shipped deliverables.* Proven ability to translate data into executive-ready narratives, recommendations, tradeoffs, and action plans.* Analytical fluency: KPI design, segmentation/cohort analysis, driver analysis, funnel/journey thinking, and data quality awareness.* Comfort working with technical partners to validate metric logic and data definitions (warehouse/BI context).* Experience with AI/analytics tools such as Cursor, ThoughtSpot, DataRobot, H2O.ai (or similar).**Nice to have:** experience supporting Customer Success motions (adoption/health, renewals/expansion, onboarding), digital CS programs (tech-touch, lifecycle orchestration), and hands-on SQL/Snowflake or Power BI/Tableau reporting; experience implementing AI-enabled workflows with measurement, governance, and change management.## Tools You'll Work WithSalesforce, Gong, Snowflake, Power BI, Tableau, Azure DevOps, Claude, ChatGPT, and additional Thomson Reuters AI tools within the Thomson Reuters ecosystem.We're looking for a **Business Analyst, Customer Success Analytics & AI** to help Customer Success leaders make faster, better decisions through actionable insights—and to shape how we use **AI and Digital Customer Success** to scale. This individual contributor role in **Customer Success Operations** blends strategic leadership with hands-on analysis, partnering closely with CS data teams (BI, Reporting & Insights, Data Operations) and CS stakeholders to turn reporting into clear recommendations and measurable next steps.Brittney Short–just nowcan you include the tools you'll work with in the about the role section## About the RoleIn your capacity supporting Customer Success analytics and AI enablement:* Partner with CS leaders and cross-functional stakeholders to understand goals, pain points, and the decisions analytics must enable.* Translate ambiguous requests into clear analytics requirements (scope, definitions, KPI logic, acceptance criteria, and rollout plans).* Own a prioritized CS analytics/insights roadmap; manage timelines, dependencies, tradeoffs, and stakeholder communications.* Coordinate delivery across BI, Reporting & Insights, and Data Operations to ensure high-quality, adopted outputs.* Produce recurring and ad hoc insights across the CS lifecycle, including trend/driver analysis and executive-ready storytelling.* Deliver crisp recommendations and actions (not just dashboards), highlighting opportunities, risks, and measurable next steps.* Help define and execute Customer Success AI strategy: identify and prioritize AI use cases, size impact, assess feasibility/data readiness, and define measurement.* Support responsible AI practices in partnership with IT/Security (governance, access controls, adoption).* Build measurement and analytics frameworks to support Digital CS at scale (segmentation, funnel/journey views, play/program effectiveness, and capacity/coverage modeling).* Guide teammates on data best practices (data quality, governance, and reporting standards).* Leverage tools including **Salesforce, Gong, Snowflake, Power BI, Tableau, Azure DevOps, Claude, ChatGPT, and Thomson Reuters AI tools** to analyze data, automate insight generation, and deliver scalable reporting and enablement.## Key Outcomes* Clear, decision-ready insights that drive action across the CS lifecycle (not just reporting).* A well-managed, adopted analytics roadmap that improves CS prioritization and operational execution.* Scalable Digital CS measurement (segmentation, alerts/exception-based management, journey visibility, program effectiveness).* AI use cases delivered with defined value, governance, and measurable business outcomes.* Strong cross-functional alignment across CS leaders, BI/Insights, Data Operations, and IT/Security.## About YouYou are a fit for this role if you have:* **4–8+ years** in Business Analysis, CS Ops/RevOps, Strategy & Ops, analytics, or similar roles blending stakeholder leadership and data-driven decision support.* **1–2+ years** using AI-driven analytics platforms or ML tools to deliver actionable business insights.* Strong requirements gathering and stakeholder management skills; able to take problems from ambiguity to shipped deliverables.* Proven ability to translate data into executive-ready narratives, recommendations, tradeoffs, and action plans.* Analytical fluency: KPI design, segmentation/cohort analysis, driver analysis, funnel/journey thinking, and data quality awareness.* Comfort working with technical partners to validate metric logic and data definitions (warehouse/BI context).* Experience with AI/analytics tools such as Cursor, ThoughtSpot, DataRobot, H2O.ai (or similar).**Preferred Experience with:**Supporting Customer Success motions (adoption/health, renewals/expansion, onboarding), digital CS programs (tech-touch, lifecycle orchestration), and hands-on SQL/Snowflake or Power BI/Tableau reporting; experience implementing AI-enabled workflows with measurement, governance, and change management.We're looking for a **Business Analyst, Customer Success Analytics & AI** to help Customer Success leaders make faster, better decisions through actionable insights—and to shape how we use **AI and Digital Customer Success** to scale. This individual contributor role in **Customer Success Operations** blends strategic leadership with hands-on analysis, partnering closely with CS data teams (BI, Reporting & Insights, Data Operations) and CS stakeholders to turn reporting into clear recommendations and measurable
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