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Thomson Reuters

Legal, financial data, and media services

Retention & Renewal Analytics – Customer Success Lead

Customer SuccessPosted on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • Eight to twelve years of experience in Customer Success Operations, Revenue Operations, or a similar analytically focused role within a SaaS or subscription-based business.
  • Expertise in renewal and retention operations and analytics, including Gross Retention Rate, Net Retention Rate, churn rate, logo retention, and annual recurring revenue and annual contract value metrics.
  • Advanced proficiency in Salesforce and Customer Success platforms such as Gainsight, including building reports, dashboards, and customer lifecycle journeys.
  • Expert proficiency in Microsoft Excel, including financial and data modelling, scenario analysis, and cohort and funnel analysis.
  • Hands-on experience with business intelligence tools such as Tableau, Power BI, or equivalent for self-service dashboard development and executive reporting.
  • Strong statistical aptitude, including cohort analysis, funnel analysis, and basic predictive modelling techniques.
  • Excellent written and verbal communication skills in English, including presenting data-driven narratives clearly and concisely to senior stakeholders.
  • High attention to detail and ability to manage multiple workstreams simultaneously in a fast-paced environment.
  • Background in revenue accounting or finance, particularly for annual recurring revenue 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 Customer Success or CRM workflows.
  • Demonstrated stakeholder management across cross-functional teams, including Finance, Sales, and Product.
  • Exposure to global or multi-regional SaaS operations and understanding of India-based delivery and go-to-market models.

Responsibilities

  • Own end-to-end analytics for the renewal pipeline, tracking renewal rates, annual recurring revenue and annual contract value at risk, and on-time renewal performance across segments and regions; publish Customer Success key metrics regularly.
  • Build and maintain predictive models to identify churn risk signals, contraction patterns, and at-risk cohorts; deliver proactive alerts to Customer Success leadership and account teams.
  • Design and manage recurring retention dashboards and scorecards at weekly, monthly, and quarterly business review levels, surfacing retention metrics, win-back trends, and save-play effectiveness; use AI and automation tools to develop programmatic retention operations reporting.
  • Lead post-churn or cancellation root cause analysis to identify systemic patterns and synthesize findings into actionable recommendations for Product, Customer Success, and Commercial teams.
  • Partner with Customer Success and Finance to refine renewal workflows, escalation triggers, and service-level agreement frameworks within tools such as Gainsight and Salesforce.
  • Translate analytical findings into executive narratives and support quarterly business reviews, executive-level reporting, and business reviews.
  • Work closely with Sales Operations, Finance, and Product to align retention key performance indicators with broader go-to-market objectives.

Desired Qualifications

  • Working knowledge of SQL or Python for data extraction and analysis, and comfort with large datasets and data validation.
  • Familiarity with machine learning or propensity modelling frameworks applied to churn prediction, such as logistic regression and gradient boosting.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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