# Retention & Renewal Analytics - CS Lead at Thomson Reuters

Thomson Reuters is hiring a Retention & Renewal Analytics - CS Lead in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Thomson Reuters](https://jobsbylevel.com/go/b61e0c7d-814e-481a-bba8-29a39a7df1c5?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. India, Bengaluru, Karnataka.

## Details

- Company: [Thomson Reuters](https://jobsbylevel.com/companies/thomson-reuters)
- AI level: AI Level 1 (score 10 out of 100)
- Location: India, Bengaluru, Karnataka
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/b61e0c7d-814e-481a-bba8-29a39a7df1c5?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=retention-renewal-analytics-cs-lead-at-thomson-reuters-da7fe3

## Prepare for this job

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## Description

Job Description We are seeking a data-driven CS Operations professional to lead retention and renewal operations and analytics within the Asia and Emerging Markets (AEM) Customer Success Operations team. In this role, you will own the operational and analytical frameworks that underpin renewal forecasting, churn risk identification, and revenue retention operations strategy. Reporting to the Director of CS Operations, you will serve as the analytical backbone for Customer Success Managers and leadership — including VP of Customer Success and CS Directors — translating complex customer data into clear, actionable intelligence that drives measurable retention outcomes. Key Responsibilities Renewal Pipeline Analytics: Own end-to-end analytics for the renewal pipeline — track renewal rates, ARR/ACV at risk, and on-time renewal performance across segments and regions; publish CS key metrics regularly. Churn & Contraction Modelling: Build and maintain predictive models to identify churn risk signals, contraction patterns, and at-risk cohorts; deliver proactive alerts to CS leadership and account teams. Retention Performance Reporting: Design and manage recurring retention dashboards and scorecards (weekly, monthly, QBR-level) surfacing retention metrics, win-back trends, and save-play effectiveness; leverage AI and automation tools to develop a programmatic approach for retention operations reporting. Root Cause Analysis: Lead post-churn or cancellation root cause analysis to identify systemic patterns; synthesise findings into actionable recommendations for Product, CS, and Commercial teams. Renewal Process Optimisation: Partner with CS and Finance to refine renewal workflows, escalation triggers, and SLA frameworks within tools like Gainsight and Salesforce. Executive Storytelling: Translate analytical findings into crisp executive narratives, supporting QBRs, exec-level reporting, and business reviews. Cross-Functional Collaboration: Work closely with Sales Ops, Finance, and Product to align retention KPIs with broader go-to-market objectives. Required Qualifications 8–12 years of experience in Customer Success Operations, Revenue Operations, or a similar analytically focused role within a SaaS or subscription-based business. Proven expertise in renewal and retention operations and analytics, including Gross Retention Rate (GRR), Net Retention Rate (NRR), churn rate, logo retention, and ARR/ACV metrics. Advanced proficiency in Salesforce (SFDC) and Customer Success platforms such as Gainsight including experience building reports, dashboards, and customer lifecycle journeys. Expert-level proficiency in Microsoft Excel, including financial and data modelling, scenario analysis, and cohort/funnel analysis. Hands-on experience with BI tools (Tableau, Power BI, or equivalent) for self-service dashboard development and executive reporting. Strong statistical aptitude — comfortable with cohort analysis, funnel analysis, and basic predictive modelling techniques. Excellent written and verbal communication skills in English; ability to present data-driven narratives clearly and concisely to senior stakeholders. High attention to detail with the ability to manage multiple workstreams simultaneously in a fast-paced environment. Background in revenue accounting or finance, particularly for ARR reconciliation and SaaS metrics reporting. Exposure to Customer Success platforms such as Gainsight, Totango, ChurnZero, Planhat, or similar tools. Experience supporting or leading digital Customer Success or tech-touch retention programmes at scale. Hands-on experience with AI-powered analytics or automation solutions integrated within CS or CRM workflows. Demonstrated experience in stakeholder management across cross-functional teams including Finance, Sales, and Product. Exposure to global or multi-regional SaaS operations with an understanding of India-based delivery and GTM models. Preferred Qualifications Working knowledge of SQL or Python for

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/retention-renewal-analytics-cs-lead-at-thomson-reuters-da7fe3

Source: https://jobsbylevel.com/jobs/retention-renewal-analytics-cs-lead-at-thomson-reuters-da7fe3

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