Data Analyst - 2026/2027 graduates

Application Deadline: October 9th, 2026 The Insights and Product Analytics (IPA) organization is responsible for analyzing the business performance of all products within Gartner’s Business and Technology Insights (BTI) business unit. This includes analyzing key client value drivers, including research content, client interactions, conferences, and events.   IPA also supports the BTI and Gartner Product Management (GPM) organizations by delivering analytically derived business insights across areas including client retention, associate performance, budget and financial analysis (in partnership with the finance organization), and client demand sensing.   We enable data-driven decision making by providing data, insights, and analytic tools to continuously improve our business—both operationally and strategically.   We are seeking an Associate Data Analyst with a passion for analytical problem solving to join our growing team. This individual will support a wide range of projects related to content, client interaction, events, role and platform analytics, demand sensing, staffing models, cost reporting, automation, associate performance analytics, standard reporting, and ad-hoc analytics. In this role, you will work closely with IPA leadership to structure problems, identify data sources, perform analysis, and communicate findings. Strong performers will have the opportunity to independently own project workstreams and interact with stakeholders. Projects will include a mix of collaborative, team-based work and independent ownership, often involving automation and cross-functional collaboration with the Information Technology team.     What You’ll Do   The program includes 3–4 structured rotations, providing exposure in four pillars of excellence:   Advanced Analytics:   ·        Lead or support high-impact analytical projects to drive business insights across Gartner’s BTI and Product teams.   ·        Develop skills in statistical analysis, executive-level communication and presentations, cross-team collaboration, and data visualization.   ·        Gain hands-on experience and training with the latest LLM tools on a range of analytical and business problems.   Data Science:   ·        Apply modern machine learning and AI techniques to real business problems with measurable client impact (e.g., defining features of high-impact content and/or client conversations, identifying top areas of client demand).   ·        Partner with analytics and project management teams for end-to-end visibility into how data science outputs influence business outcomes.   ·        Receive structured mentorship and guidance from senior data science professionals.   Project Management:   ·        Manage project planning, execution, and delivery on cutting-edge analytical and business projects.   ·        Collaborate with analytics, data science, and data engineering teams.   Data Engineering:   ·        Assist with the setup, management, and streamlining of data pipelines for multiple data science and analytics projects.   ·        Partner with Gartner’s Chief Data Office (CDO) to help manage large volumes of client data.     Core Responsibilities: ·        Partner   with colleagues to deliver actionable insights that drive decision-making within the BTI and GPM organizations.   ·        Effectively communicate   findings to drive adoption and implementation; build dashboards and reporting as needed.   ·        Own and deliver key projects , including rollout plans, success criteria, and metrics.   ·        Develop domain expertise   on Gartner’s data, analytic tools, reports, and data infrastructure. Take initiative in problem solving, root cause analysis, and devising testing methodologies for validation, and clearly explain data sources to senior audiences.   ·        Drive