Summer Analyst, Product, Business Strategy & Operations

Genesys is a company that empowers organizations to enhance customer and employee experiences through its AI-powered platform. The Business Strategy & Operations Summer Analyst will support high-priority strategic analyses and operational workstreams, providing insights that drive decision-making among product leadership.

Responsibilities:

• Support high-priority strategic and operational analyses for Product leadership, helping break down complex business questions into structured workstreams and actionable recommendations
• Build and maintain Excel-based analyses, models, and business insights that support decision-making across growth, retention, adoption, and business health
• Assist with the development of dashboards, scorecards, KPI tracking, and executive reporting materials
• Conduct product, market, and competitive research across cloud contact center, AI, and adjacent markets to inform strategic planning
• Synthesize findings into executive-ready memos, presentations, and briefing materials for leadership reviews

Requirements:

• Current undergraduate rising senior or graduate student (M.S. or MBA) in Business, Economics, Engineering, Statistics, Data Science, Computer Science, or a related field
• Strong proficiency in Excel and PowerPoint is required
• Strong analytical and structured problem-solving skills, with the ability to break down ambiguous business questions into clear frameworks and recommendations
• Exceptional written and verbal communication skills with the ability to convey complex ideas and analyses succinctly to non-technical audiences
• Be a proactive self-starter with the ability to multi-task, work independently, prioritize, and get things done
• Ability to build productive and positive working relationships with co-workers with varying technical and business backgrounds
• Demonstrate intellectual curiosity and a desire to tackle ambiguous and varied projects in support of the Product Strategy & Ops team
• Experience with SQL for data analysis
• Familiarity with Python or R for analytical work
• Exposure to SaaS business analysis concepts such as cohort analysis, retention analysis, churn analysis, funnel analysis, or usage-based performance tracking
• Experience with Tableau, Snowflake, Zenlytic, or similar analytics and BI tools
• Experience with Cursor or similar AI-assisted productivity / development tools
• Understanding of cloud software, SaaS, or contact center markets through academic or internship experience
• Experience preparing presentations, memos, or dashboards for leadership audiences