Data Analyst - 2026/2027 graduates

Gartner • Stamford, CT

12d • $59,000 - $78,000 • Hybrid

About The Position

The Insights and Product Analytics (IPA) organization analyzes the business performance of products within Gartner’s Business and Technology Insights (BTI) business unit, including client value drivers such as research content, client interactions, conferences, and events. IPA also supports BTI and Gartner Product Management (GPM) through business insights on client retention, associate performance, budgets and financial analysis, and client demand sensing.

Gartner is seeking an Associate Data Analyst with a passion for analytical problem solving. The role supports projects involving content, client interactions, events, role and platform analytics, demand sensing, staffing models, cost reporting, automation, associate performance analytics, standard reporting, and ad-hoc analytics. The analyst works with IPA leadership to structure problems, identify data sources, conduct analysis, and communicate findings. Projects combine collaborative team work and independent ownership, and may involve automation and cross-functional work with Information Technology.

The program includes 3–4 structured rotations across Advanced Analytics, Data Science, Project Management, and Data Engineering. Participants develop analytical, communication, visualization, collaboration, and project delivery skills; work with machine learning, AI, and LLM tools; and receive mentorship and exposure to data pipelines and client data management.

This is a hybrid role. Candidates must live within reasonable proximity of a Gartner Center of Excellence office in Irving, Texas, or Stamford, Connecticut, and must have U.S. work authorization. The role is intended for 2026/2027 graduates.

Requirements

• Internship and/or academic experience involving analysis of large volumes of data, with hands-on use of analytical tools.
• Ability to gather, analyze, restructure, and communicate insights from qualitative and quantitative data.
• Bachelor’s degree; a quantitative field such as statistics, data science, mathematics, engineering, operations research, computer science, or economics is preferred.
• Demonstrated ability to approach complex problems creatively and communicate data-driven stories, with willingness to develop these skills further.
• Ability to work effectively in teams, engage with stakeholders, and show initiative; eagerness to develop leadership and influencing skills.
• Advanced Excel and PowerPoint skills.
• Strong verbal and written communication skills and ability to work independently.
• U.S. work authorization.
• Must reside within reasonable proximity of a Gartner Center of Excellence office in Irving, Texas, or Stamford, Connecticut.

Nice To Haves

• Intermediate SQL, Python or R, and Power BI skills are preferred.
• A bachelor’s degree in a quantitative field is preferred.

Responsibilities

• Partner with colleagues to deliver actionable insights that support decision-making within BTI and GPM.
• Communicate findings to encourage adoption and implementation, and build dashboards and reports as needed.
• Own and deliver key projects, including rollout plans, success criteria, and metrics.
• Develop expertise in Gartner’s data, analytical tools, reports, and data infrastructure.
• Take initiative in problem solving and root cause analysis, devise validation and testing methodologies, and explain data sources to senior audiences.
• Drive continuous improvement in IPA deliverables, including data sources, analytical insights, and tools, as well as operational processes and communications.
• Collaborate with Information Technology and data science teams to ensure data quality, integrity, and consistency.
• Lead or support high-impact analytical projects across Gartner’s BTI and Product teams.
• Apply machine learning and AI techniques to business problems and collaborate with analytics and project management teams to understand how data science outputs affect outcomes.
• Manage project planning, execution, and delivery, collaborating with analytics, data science, and data engineering teams.
• Assist in setting up, managing, and streamlining data pipelines, and partner with the Chief Data Office to help manage client data.

Benefits

• Generous paid time off (PTO).
• 401(k) match up to $7,200 per year.
• Opportunity to purchase company stock at a discount.
• World-class benefits and highly competitive compensation.
• Annual bonus plan based on company and individual performance, or a role-based uncapped sales incentive plan, as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level