Business Intelligence Analyst

About the role

Gartner is hiring a Business Intelligence Analyst for its Operations & Strategy team in Stamford. The analyst works closely with business partners to turn complex data into clear insights that support operational and strategic decisions, framing ambiguous problems into clear analytical questions and delivering reporting and analytics solutions.

Key responsibilities

• Collaborate with stakeholders to clarify objectives, define success measures and turn evolving requests into practical requirements.
• Develop and refine KPIs and metric logic, documenting assumptions and reconciling competing definitions.
• Analyze large, complex datasets to find patterns, root causes, risks and opportunities, and use structured analysis to improve processes.
• Build decision-ready reports, dashboards and datasets, validate source data and transformations, and share practical recommendations.
• Communicate insights clearly, including what is uncertain and what trade-offs exist, and manage competing priorities across projects.
• Improve analytical processes by automating, standardizing or redesigning recurring analysis, data preparation and reporting workflows, using automation, AI-assisted analytics and modern data tools responsibly.

Required profile

• 1-3 years of business, analytics, operations, finance or related analysis experience (internships and academic projects considered).
• Experience working with stakeholders, defining metrics, analyzing data and communicating findings.
• Experience managing multiple priorities where requirements, timelines and data availability change.
• Comfort working in ambiguity, with strong analytical rigor, critical thinking and stakeholder communication skills.

Required skills

• Power BI: building and maintaining reports, dashboards, datasets and analytical views.
• Modern analytics and reporting tools such as Excel, Salesforce Native reporting, Salesforce CRM Analytics, Databricks, Tableau and Microsoft Fabric.
• Strong Excel skills: Power Query, pivot tables, formulas, data preparation and quality checks.
• SQL for data extraction, transformation, reconciliation, validation and repeatable analysis.
• Preferred: Python, automation and low-code tools (Power Automate, Power Apps, Copilot Studio), AI-assisted analytics tools, OPI/GSP applications, and executive-ready outputs like PowerPoint presentations.

What we offer

• Estimated base salary range of 64,000 to 87,000 USD, with possible variation depending on experience and location.
• Annual bonus plan or role-based, uncapped sales incentive plan.
• Generous PTO, 401k match up to 7,200 USD per year, and the option to buy company stock at a discount.
• Hybrid work environment.