Overview: Cvent is a leading meetings, events, and hospitality technology provider with more than 5,500+ employees and ~33,000 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 world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

Cvent's 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 solid connections. - AI at Cvent: Leading the Future

Throughout our interview process, you’ll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you’re excited to be part of a team that’s leading the way in AI-powered collaboration, we’d love to meet you.About the role: As Analytics Manager at Cvent, you will own and drive the company's 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 team's 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 team's AI strategy, identifying high-impact use cases for analytics, automation, and decision support across pricing, revenue, and customer intelligence.
- Frame ambiguous business problems, scope the analysis, and deliver clear, decision-ready recommendations powered by AI and ML techniques.
- 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.
- 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.

Here's 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 a

📌 Manager, Analytics (Gurugram)
🏢 Cvent
📍 Gurugram