Senior Specialist Analyst – Technology Research, Quantitative Research

• Contribute to Gartner’s Market Share data and analysis by delivering vendor revenue positions
• Assess vendor revenue performance, growth rates, mergers and acquisitions, geographic expansion, and other strategic developments
• Analyze supply and demand dynamics, macroeconomic indicators, and regulatory factors influencing technology markets
• Apply Gartner estimation methodology and model individual vendor revenue
• Assist with forecast assumptions and storylines by researching end-user buying behavior, IT vendor business models, and competitive environments
• Contribute to Competitive Landscape, Opportunity Forecast, Emerging Brief, and First Take deliverables
• Analyze competitive dynamics among AI vendors, including evolving products, business models, and strategic advancements
• Build knowledge of internal and external data assets and enable innovative data-driven deliverables
• Leverage and support the continuous evolution of AI tools in research deliverables
• Drive process improvement initiatives by streamlining workflows and implementing best practices
• Communicate and collaborate with extended stakeholders on publications and initiatives
• Contribute to market vision development at local, regional, and global levels

• BE/B.Tech + MBA with 2-5 years of work experience, or
• Graduate + MBA from leading Tier I & II B-schools, or
• Post-graduates/graduates with IT, Maths, Statistics, Finance and Economics background (B.Sc./BBA/B.A. Economics/B.Com)
• Experience in technology research is a plus; keen interest in IT markets is required
• Highly numerate with excellent critical thinking skills
• Ability to quickly grasp and articulate market fundamentals and demand and growth drivers
• Understanding of key technology and macroeconomic trends
• Excellent written and verbal communication skills
• Working knowledge of databases such as Factiva, Capital IQ, Crunchbase, and data visualization tools such as Power BI and advanced Excel is a plus
• Knowledge of conducting structured research leveraging AI tools is a plus
• Strong sense of ownership and a “can do” attitude

• Competitive base salary
• Generous paid time off policy
• Group Medical Insurance
• Parental Leave
• Employee Assistance Program (EAP)
• Collaborative, team-oriented culture that embraces diversity
• Learning, professional development, and growth opportunities
• Individualized development plan
• Access to extensive peer network and best-in-class research resources
• Flexible hybrid work environment with virtual work and in-person collaboration
• World-class benefits
• Highly competitive compensation
• Disproportionate rewards for top performers