Data Analyst Internship (2028 Graduates)

Gartner•Irving, TX

12d•$17 - $25•Hybrid

About The Position

The Insights and Product Analytics (IPA) organization analyzes the business performance of products in Gartner’s Business and Technology Insights (BTI) business unit and provides analytically derived insights to BTI and Gartner Product Management (GPM). It supports data-driven decisions across client retention, associate performance, financial analysis, client demand sensing, and other business priorities. The Associate Data Analyst Intern supports projects involving content, client interactions, events, role and platform analytics, demand sensing, staffing models, cost reporting, automation, associate performance, standard reporting, and ad-hoc analysis. The intern works with IPA leadership and cross-functional colleagues to structure problems, identify data sources, analyze data, and communicate findings. Work includes collaborative projects and opportunities for independent ownership, including automation and collaboration with Information Technology. The role offers experience with statistical analysis, executive communication, data visualization, LLM tools, and modern machine learning and AI techniques applied to business problems. The intern may also support data pipelines and work with Gartner’s Chief Data Office on client data. High-performing interns may receive full-time offers to join Gartner’s Associate Data Analyst Rotational Program after graduation. The role is hybrid, with remote work and opportunities to connect on-site; candidates must live within reasonable proximity to Gartner’s Center of Excellence office in Irving, Texas, and have U.S. work authorization.

Requirements

Currently pursuing a Bachelor’s degree and graduating in 2028.
Academic experience analyzing large volumes of data and hands-on experience with analytical tools.
Ability to gather, analyze, restructure, and communicate insights from qualitative and quantitative data.
Ability to approach complex problems creatively and communicate data-driven stories; willingness to learn and develop these skills.
Ability to work effectively in teams, engage with stakeholders, and demonstrate initiative.
Strong verbal and written communication skills and ability to work independently.
Intermediate skills in Excel and PowerPoint.
U.S. work authorization.
Must reside within reasonable proximity to Gartner’s Center of Excellence office in Irving, Texas.

Nice To Haves

Pursuit of a degree in a quantitative field such as statistics, data science, mathematics, engineering, operations research, computer science, or economics.
Familiarity with SQL, Python, or R.
Interest in developing leadership and influencing skills.

Responsibilities

Support high-impact analytical projects that generate business insights for Gartner’s BTI and Product teams.
Partner with colleagues to deliver actionable insights for decision-making within the BTI and GPM organizations.
Communicate findings to encourage adoption and implementation; build dashboards and reports as needed.
Own and deliver aspects of key projects, including rollout plans, success criteria, and metrics.
Develop expertise in Gartner’s data, analytic tools, reports, and data infrastructure.
Conduct problem solving and root cause analysis, devise validation testing methodologies, and explain data sources to senior audiences.
Collaborate with analytics, project management, data engineering, data science, and Information Technology teams to support end-to-end visibility into business outcomes and ensure data quality, integrity, and consistency.
Assist with setting up, managing, and streamlining data pipelines for data science and analytics projects.
Partner with the Chief Data Office to help manage large volumes of client data.
Apply statistical analysis, data visualization, and machine learning and AI techniques to business problems.
Support 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.