Cvent is a leading meetings events and hospitality technology provider with more than 6000 employees and 34000 customers worldwide including 60% of the Fortune 500. Founded in 1999 Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the short were transforming the meetings and events industry through cutting-edge technology that powers the human connection.
Cvents strength lies in its people fostering a culture where everyone is encouraged to think like entrepreneurs taking risks and making decisions confidently. We value diverse perspectives and celebrate differences working together with colleagues and clients to build strong connections.
AI at Cvent: Leading the Future
Are you ready to shape the future of work at the intersection of human expertise and AI innovation At Cvent were committed to continuous learning and adaptationAI isnt just a tool for us its part of our DNA. Were looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly share your discoveries and help define best practices for AI-augmented work youll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work delivering exceptional results while relying on the human judgment and creativity that drive real innovation
Throughout our interview process youll have the chance to demonstrate how you use AI to learn iterate and amplify your impact. If youre excited to be part of a team thats leading the way in AI-powered collaboration wed love to meet you.
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For more information visit Cvents Recruitment Fraud Notice. the role:
As Analytics Manager at Cvent you will own and drive the companys analytics and pricing intelligence agenda. You will manage a portfolio of analytics projects end-to-end spanning product usage revenue customer behavior and pricing strategy while also serving as the primary analytical owner for Pricing. You will define and lead the teams AI strategy partner closely with Product Sales Finance and Marketing leadership and build the tools models and processes that enable data-driven and AI-powered decision-making at scale.
In This Role You Will:
Analytics Leadership
Own and manage the full analytics project portfolio - scoping prioritization execution and stakeholder communication across all active workstreams.
Define and maintain analytics roadmaps aligned to business OKRs; present progress and outcomes to senior leadership on a regular cadence.
Conduct comprehensive lifecycle analysis including data gathering cleansing advanced statistical modeling and strategic recommendations.
Build and maintain self-serve dashboards and reports in Sigma/Tableau to enable business teams to access insights independently.
Partner with Engineering and Data Platform teams to improve data quality pipeline reliability and overall analytics infrastructure.
Champion a data-driven culture by establishing best practices documentation standards and data literacy programs.
Pricing Analytics
Lead key pricing analytics projects pivotal to company success - including price optimization discount governance deal win/loss analysis and competitive benchmarking.
Develop advanced pricing tools and statistical models (e.g. price elasticity willingness-to-pay cohort value models) using R/Python.
Power Quarterly Pricing Reviews by delivering structured updates insights and recommendations to Finance and GTM leadership.
Provide deal-support analytics to Sales teams including custom pricing simulations ROI models and competitive positioning.
Analyze market trends competitive landscape and customer data to inform and refine pricing strategies and discount policies.
Interpret complex multi-dimensional data sets and translate findings into clear actionable recommendations for non-technical stakeholders.
AI & Innovation
Define and lead the teams AI strategy identifying high-impact use cases for analytics automation and decision support across pricing revenue and customer intelligence.
Serve as the teams subject-matter expert on AI-enabled analytics upskilling colleagues and championing responsible explainable use of AI in business contexts.
Evaluate and deploy AI/ML models (e.g. forecasting churn prediction price optimization NLP-based feedback analysis) in collaboration with Data Science and Engineering teams.
Stay current on emerging AI tools LLM applications and analytics automation technologies; assess applicability to Cvents business context and advocate for adoption where appropriate.
Establish guardrails and governance practices for AI-generated insights to ensure accuracy fairness and business trustworthiness.
Cross-functional & People Management
Work with senior leadership to prioritize analytics and pricing business needs translating ambiguous questions into well-defined analytical frameworks.
Manage mentor and develop a team of analysts - providing guidance on methodology technical skills career growth and AI literacy.
Collaborate cross-functionally with Product Sales Finance and Marketing to align on metrics definitions reporting standards and joint analyses.
Communicate complex findings and strategic recommendations clearly through presentations and written reports for executive audiences.
Heres What You Need:
This is a senior techno-functional role requiring deep technical expertise alongside strong business acumen AI fluency and leadership capabilities.
Analytics & Technical
Proven ability to manage multiple complex analytics projects simultaneously with strong prioritization and stakeholder management skills.
Expert-level proficiency in SQL and BI tools - Sigma and/or Tableau required.
Advanced Excel and PowerPoint skills; ability to build compelling executive-ready presentations.
Strong working knowledge of statistics and R/Python ideally applied to pricing models segmentation or forecasting.
Experience with Salesforce CRM data and AWS cloud environment (Redshift S3 or equivalent).
Ability to decipher large complex multi-dimensional data sets and present findings in a coherent business-friendly structure.
Experience developing pricing/value models using advanced statistical techniques is strongly preferred.
AI & Machine Learning
Hands-on experience with AI/ML frameworks and tools (e.g. scikit-learn XGBoost or similar) and the ability to apply them to real-world business problems.
Familiarity with LLM APIs (e.g. OpenAI Anthropic or similar) and experience integrating AI-generated insights into analytics workflows or dashboards.
Understanding of responsible AI principles - bias detection model interpretability data governance - and ability to implement guardrails in production settings.
Ability to frame ambiguous open-ended business problems into structured analytical scopes and deliver decision-ready outputs using AI-driven approaches.
Experience designing or overseeing AI/automation use cases that improved team productivity or analytical throughput.
Familiarity with cloud AI/ML services (AWS SageMaker Google Vertex AI or similar) is a plus.
Leadership & Communication
Capability to clearly understand and articulate complex business problems and multi-task across multiple high-visibility projects.
Excellent written and oral communication skills; comfortable presenting to C-level executives.
Demonstrated ability to upskill teams on recent tools and methodologies including AI and analytics best practices.
Ability to work under pressure and meet tight deadlines in a fast-paced dynamic workplace.
Qualifications-
10-14 years of relevant working experience in analytics pricing revenue management or technical consulting; SaaS/Tech industry preferred.
2 years of people management or team lead experience.
BTech or graduation in Mathematics Economics Computer Science Information Management Statistics or a related quantitative field.
Demonstrated hands-on experience with SQL Sigma/Tableau and Advanced Excel.
Proven track record of delivering analytics projects that drove measurable business impact.
Demonstrated experience applying AI/ML techniques to real-world business problems; pricing revenue or customer analytics use cases preferred.
Analytics Leadership
Own and manage the full analytics project portfolio - scoping prioritization execution and stakeholder communication across all active workstreams.
Define and maintain analytics roadmaps aligned to business OKRs; present progress and outcomes to senior leadership on a regular cadence.
Conduct comprehensive lifecycle analysis including data gathering cleansing advanced statistical modeling and strategic recommendations.
Build and maintain self-serve dashboards and reports in Sigma/Tableau to enable business teams to access insights independently.
Partner with Engineering and Data Platform teams to improve data quality pipeline reliability and overall analytics infrastructure.
Champion a data-driven culture by establishing best practices documentation standards and data literacy programs.
Pricing Analytics
Lead key pricing analytics projects pivotal to company success - including price optimization discount governance deal win/loss analysis and competitive benchmarking.
Develop advanced pricing tools and statistical models (e.g. price elasticity willingness-to-pay cohort value models) using R/Python.
Power Quarterly Pricing Reviews by delivering structured updates insights and recommendations to Finance and GTM leadership.
Provide deal-support analytics to Sales teams including custom pricing simulations ROI models and competitive positioning.
Analyze market trends competitive landscape and customer data to inform and refine pricing strategies and discount policies.
Interpret complex multi-dimensional data sets and translate findings into clear actionable recommendations for non-technical stakeholders.
AI & Innovation
Define and lead the teams AI strategy identifying high-impact use cases for analytics automation and decision support across pricing revenue and customer intelligence.
Serve as the teams subject-matter expert on AI-enabled analytics upskilling colleagues and championing responsible explainable use of AI in business contexts.
Evaluate and deploy AI/ML models (e.g. forecasting churn prediction price optimization NLP-based feedback analysis) in collaboration with Data Science and Engineering teams.
Stay current on emerging AI tools LLM applications and analytics automation technologies; assess applicability to Cvents business context and advocate for adoption where appropriate.
Establish guardrails and governance practices for AI-generated insights to ensure accuracy fairness and business trustworthiness.
Cross-functional & People Management
Work with senior leadership to prioritize analytics and pricing business needs translating ambiguous questions into well-defined analytical frameworks.
Manage mentor and develop a team of analysts - providing guidance on methodology technical skills career growth and AI literacy.
Collaborate cross-functionally with Product Sales Finance and Marketing to align on metrics definitions reporting standards and joint analyses.
Communicate complex findings and strategic recommendations clearly through presentations and written reports for executive audiences.
This is a senior techno-functional role requiring deep technical expertise alongside strong business acumen AI fluency and leadership capabilities.
Analytics & Technical
Proven ability to manage multiple complex analytics projects simultaneously with strong prioritization and stakeholder management skills.
Expert-level proficiency in SQL and BI tools - Sigma and/or Tableau required.
Advanced Excel and PowerPoint skills; ability to build compelling executive-ready presentations.
Strong working knowledge of statistics and R/Python ideally applied to pricing models segmentation or forecasting.
Experience with Salesforce CRM data and AWS cloud environment (Redshift S3 or equivalent).
Ability to decipher large complex multi-dimensional data sets and present findings in a coherent business-friendly structure.
Experience developing pricing/value models using advanced statistical techniques is strongly preferred.
AI & Machine Learning
Hands-on experience with AI/ML frameworks and tools (e.g. scikit-learn XGBoost or similar) and the ability to apply them to real-world business problems.
Familiarity with LLM APIs (e.g. OpenAI Anthropic or similar) and experience integrating AI-generated insights into analytics workflows or dashboards.
Understanding of responsible AI principles - bias detection model interpretability data governance - and ability to implement guardrails in production settings.
Ability to frame ambiguous open-ended business problems into structured analytical scopes and deliver decision-ready outputs using AI-driven approaches.
Experience designing or overseeing AI/automation use cases that improved team productivity or analytical throughput.
Familiarity with cloud AI/ML services (AWS SageMaker Google Vertex AI or similar) is a plus.
Leadership & Communication
Capability to clearly understand and articulate complex business problems and multi-task across multiple high-visibility projects.
Excellent written and oral communication skills; comfortable presenting to C-level executives.
Demonstrated ability to upskill teams on new tools and methodologies including AI and analytics best practices.
Ability to work under pressure and meet tight deadlines in a fast-paced dynamic environment.
Qualifications-
10-14 years of relevant working experience in analytics pricing revenue management or technical consulting; SaaS/Tech industry preferred.
2 years of people management or team lead experience.
BTech or graduation in Mathematics Economics Computer Science Information Management Statistics or a related quantitative field.
Demonstrated hands-on experience with SQL Sigma/Tableau and Advanced Excel.
Proven track record of delivering analytics projects that drove measurable business impact.
Demonstrated experience applying AI/ML techniques to real-world business problems; pricing revenue or customer analytics use cases preferred.