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Capgemini

Senior Operations Analyst

Capgemini

Senior Operations Analyst optimizing Farmers' messaging and AI systems by analyzing chat and SMS trends. Focused on actionable improvements in knowledge content and routing strategies.

Posted 7/13/2026full-timePune • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analyzing and optimizing conversational AI ecosystems, with a strong focus on performance evaluation, reporting, and cross-functional collaboration to enhance customer engagement and service delivery.

Highest-signal resume keywords
Google CCAI / DialogflowMicrosoft ExcelSQLPower BISalesforce (Service Cloud / Chat / Knowledge)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Conversational AI AnalysisData AnalysisPerformance EvaluationA/B TestingRouting Strategy OptimizationKPI DevelopmentContent Gap AnalysisCustomer Engagement OptimizationTrend IdentificationOperational Expertise
Soft Skills
Analytical ThinkingCollaborationCommunicationProblem SolvingContinuous Improvement Mindset
Tools & Technologies
Chat PlatformsMessaging PlatformsVirtual Agent SolutionsWorkflow SystemsTicketing Systems
Industry Keywords
Generative AIAI PerformanceCustomer ExperienceService OperationsKnowledge Management

Tech Stack

Tools & technologies
CloudSQL

About the role

Key responsibilities & impact
  • The Senior Operations Analyst will play a critical role in analyzing, optimizing, and scaling Farmers’ messaging and conversational AI ecosystem.
  • This role will focus on identifying trends across chat, SMS, and messaging platforms and translating insights into actionable improvements across knowledge content, routing strategies, and AI performance.
  • Key responsibilities include:
  • Analyze chat, messaging, SMS, and virtual agent interactions to identify trends, pain points, and opportunities for optimization
  • Evaluate performance of conversational AI and Generative AI solutions, including accuracy, containment rates, escalation drivers, and answer quality
  • Partner with Knowledge Management to identify content gaps, inconsistencies, and opportunities to improve AI-generated responses
  • Assess and optimize chat routing strategies, queue configuration, and agent assignment logic to improve efficiency and customer experience
  • Develop reporting and dashboards to track KPIs such as containment, deflection, AHT, CSAT, and answer-to-chat ratios
  • Provide insights and recommendations to cross-functional stakeholders including Service Operations, CAS, Product, and Technology teams
  • Support continuous improvement initiatives and experimentation (A/B testing, prompt tuning, routing changes, etc.)
  • Contribute to governance and auditing processes for Generative AI and conversational experiences
  • This role requires a strong blend of analytical thinking, operational expertise, and emerging AI fluency to drive measurable improvements in service delivery.

Requirements

What you’ll need
  • Experience- 4 to 6 years
  • Shift Time- 01:00 PM to 10:00 PM IST
  • Must have Skills
  • Google CCAI / Dialogflow
  • Microsoft Excel
  • SQL
  • Power BI
  • Salesforce (Service Cloud / Chat / Knowledge)
  • Customer Engagement / Chat Platforms (e.g., LivePerson, Genesys, Salesforce Chat, Prompt Engineering / LLM Interaction Tools, Workflow / Ticketing Systems

Benefits

Comp & perks
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development