Job description

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 continuous improvement   initiatives related to IPA deliverables (e.g., new data sources, analytic insights, tools) as well as operational process improvements (e.g., enhancing IPA processes and communications). · Collaborate   with the Information Technology team and data scientists to ensure data quality, integrity, and consistency. Job Requirements · Experience:   Internship and/or academic experience involving analysis of large volumes of data, with hands-on experience using analytical tools. Ability to gather, analyze, restructure, and articulate insights from qualitative and quantitative data. · Education:   Bachelor’s degree, preferably in a quantitative field such as statistics, data science, mathematics, engineering, operations research, computer science, or economics. · Problem Solving:   Demonstrated ability to approach complex problems, think creatively, and communicate data-driven stories. Willingness to learn and develop these skills further. · Collaboration and Leadership Potential:   Ability to work effectively in teams, engage with stakeholders, and demonstrate initiative. Eagerness to learn and develop leadership and influencing skills. · Technical Competency:   Advanced skills in Excel and PowerPoint; intermediate SQL, Python or R, and Power BI is preferred. · Communication:   Strong verbal and written communication skills, as well as the ability to work independently. · Location:   Gartner offers a hybrid, flexible environment, with remote work that allows associates great flexibility to work from home, and opportunities to connect with colleagues for moments that matter on-site.   Candidates must reside within a reasonable proximity to a Gartner Center of Excellence office location (Irving, TX; Stamford, CT). · Work Authorization:   This role requires U.S. work authorization. #LI-DNI #earlycareers Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it s productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 59,000 USD - 78,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at 1 (203) 964-0096 or by sending an email to ApplicantAccommodations gartner.com . Job Requisition ID:112849 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: jobs.gartner.com For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Requirements

Must-haves

Application Deadline: October 9th, 2026
We enable data-driven decision making by providing data, insights, and analytic tools to continuously improve our business—both operationally and strategically.
What You’ll Do
The program includes 3–4 structured rotations, providing exposure in four pillars of excellence:
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.
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.
Manage project planning, execution, and delivery on cutting-edge analytical and business projects.
Collaborate with analytics, data science, and data engineering teams.
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.
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.
Drive continuous improvement   initiatives related to IPA deliverables (e.g., new data sources, analytic insights, tools) as well as operational process improvements (e.g., enhancing IPA processes and communications).
Collaborate   with the Information Technology team and data scientists to ensure data quality, integrity, and consistency.
Job Requirements
Education:   Bachelor’s degree, preferably in a quantitative field such as statistics, data science, mathematics, engineering, operations research, computer science, or economics.
Problem Solving:   Demonstrated ability to approach complex problems, think creatively, and communicate data-driven stories. Willingness to learn and develop these skills further.
Collaboration and Leadership Potential:   Ability to work effectively in teams, engage with stakeholders, and demonstrate initiative. Eagerness to learn and develop leadership and influencing skills.
Communication:   Strong verbal and written communication skills, as well as the ability to work independently.

Nice-to-haves

Technical Competency:   Advanced skills in Excel and PowerPoint; intermediate SQL, Python or R, and Power BI is preferred.

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Platform: workday
Effort: long

Benefits

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401k

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