Job Description

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Overview:
Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals, along with software solutions for hotels, venues, and destinations to grow their group/MICE and corporate travel business. Our technology brings millions of people together at events worldwide, transforming the meetings and events industry through innovative solutions that power human connection.
Our culture is rooted in intrapreneurship--encouraging employees to think and act like entrepreneurs, take ownership, embrace smart risks, and drive impact. We celebrate diverse perspectives and foster a collaborative environment that values both individuality and shared purpose.
The Cvent Analytics team is hiring a Lead Analyst. The selected candidate will focus on delivering high-impact, data-driven insights to support our Sales teams and elevate customer conversations using Cvent's rich sourcing and product data.
In This Role, You Will:
Strategic Stakeholder Partnership

• Act as a senior analytical partner to the US-based Sales organization, shaping account strategy and annual account plans aligned with revenue goals.
• Strengthening stakeholder relationships by deeply understanding business objectives and ensuring insights translate into measurable actions.
• Collaborate with Sales leadership to support revenue-driving initiatives, including win-back programs, churn reduction efforts, renewal optimization, and promotional campaigns.

Advanced Analytics, AI, & Insight Generation

• Apply AI-powered analytical approaches--predictive modeling, customer clustering, natural language insights, and automated analysis--to scale insight generation.
• Conduct customer churn analysis, retention analysis, and closed-lost analysis to identify root causes, behavioral patterns, and opportunities to improve customer lifetime value.
• Analyze user behavior, customer segmentation, product adoption trends, and market movements to identify growth levers.
• Drive incremental revenue opportunity projects, uncovering whitespace, upsell potential, and underpenetrated segments with clear recommendations for Sales.

Cross-Functional & Data Science Collaboration

• Partner with data science teams to frame analytical needs, validate models, and enhance insight workflows.
• Translate business problems into analytical requirements and collaborate on developing scalable data-driven solutions.

Data Storytelling & Communication

• Deliver compelling data narratives using expert visualization and storytelling across PowerPoint and modern BI tools.
• Present insights to internal and client-facing stakeholders in a structured and business-focused manner.
• Develop scalable market insights and customer intelligence content for internal office hours, webinars, Sales enablement, and industry-facing publications.

Operational Excellence & Execution

• Own the end-to-end delivery of recurring and ad-hoc analytical workstreams, ensuring quality, timeliness, and repeatability.
• Partner with peer analysts to refine customer segmentation frameworks that guide prioritization, support matrix design, and customer journey analysis.

Here's What You Need:
Qualifications & Experience

• 6-8 years of experience in analytics, consulting, strategy, or similar data-driven roles.
• Bachelor's degree in technology, statistics, sciences, mathematics, or engineering with strong academic performance.
• Exposure to working with data science teams and understanding of model development workflows.

Technical Skills

• Strong proficiency in SQL or Snowflake and advanced Excel.
• High proficiency in PowerPoint with strong storyboarding and insight communication skills.
• AI proficiency--experience applying ML/AI for segmentation, churn modeling, predictive analytics, LLM-powered analysis, or automated insights.
• Solid understanding of customer segmentation, behavioral analytics, retention modeling, and lifecycle analysis.

Communication & Stakeholder Leadership

• Excellent written and verbal communication skills with the ability to structure insights clearly and logically.
• Proven ability to influence senior stakeholders, navigate ambiguity, and align cross-functional teams.
• Strong presentation skills with experience delivering insights to large or senior audiences.

Professional Skills

• Exceptional project and time management skills; ability to manage multiple priorities under tight timelines.
• Self-driven, proactive, and comfortable collaborating with globally distributed teams.
• A consultative mindset with strong business acumen and the ability to connect data insights to revenue impact.

Skills Required