Were looking for aBusiness Analyst Customer Success Analytics & AIto help Customer Success leaders make faster better decisions through actionable insightsand to shape how we useAI and Digital Customer Successto scale. This individual contributor role inCustomer Success Operationsblends 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.
In 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).
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.
You are a fit for this role if you have:
48 yearsin Business Analysis CS Ops/RevOps Strategy & Ops analytics or similar roles blending stakeholder leadership and data-driven decision support.
12 yearsusing 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 (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.
Salesforce Gong Snowflake Power BI Tableau Azure DevOps Claude ChatGPT and additional Thomson Reuters AI tools within the Thomson Reuters ecosystem.
Estimated query cost:
$0.0093 USD
Brittney ShortBS
Were looking for aBusiness Analyst Customer Success Analytics & AIto help Customer Success leaders make faster better decisions through actionable insightsand to shape how we useAI and Digital Customer Successto scale. This individual contributor role inCustomer Success Operationsblends 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.
In 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 includingSalesforce Gong Snowflake Power BI Tableau Azure DevOps Claude ChatGPT and Thomson Reuters AI toolsto analyze data automate insight generation and deliver scalable reporting and enablement.
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.
You are a fit for this role if you have:
48 yearsin Business Analysis CS Ops/RevOps Strategy & Ops analytics or similar roles blending stakeholder leadership and data-driven decision support.
12 yearsusing 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 (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.
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Whats in it For You
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Thomson Reuters (NYSE / TSX: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, accounting, compliance, government, and media. Its prod ... View more