The Insights and Product Analytics team (IPA) organization is responsible for business performance of all research products and performs analysis related to all aspects of Gartner’s Business and Technology Insights (BTI) business unit. This includes client value drivers: Research content, Client interaction, and the insights into conferences and events. IPA also supports the BTI organization by enabling and performing analysis running from client retention analytics, associate performance analytics, budget and financial analysis (in partnership with the finance organization), and client demand sensing. We power fact-based decision making by providing data, insights, and analytic tools to continuously improve our business – operationally and strategically.
We are looking for a Data Analyst who has a passion for analytical problem solving to be part of our growing team. This individual will solve a wide range of problems related to content analytics, cost reporting, standard reporting, and ad-hoc analytics. Individuals in this role will work closely with IPA leadership to structure problems, identify data sources, perform analysis, and communicate findings. Strong performers will build skills to independently own project workstreams and interact with stakeholders. Projects will include a mix of team problem solving and independent problem solving. Projects will also involve collaboration with the Information Technology and Data Science teams.
What you’ll do:
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Partner with colleagues to do analysis that surfaces actionable insight for the BTI organization. Effectively communicate findings to drive adoption and implementation.
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Project ownership: Contribute to key projects following rollout plan, success criteria and metrics. Ability to gather, analyze, restructure, identify and articulate insights from qualitative and quantitative data.
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Domain expertise: Become a deep subject-matter expert on Gartner’s data, analytic tools, reports & data infrastructure. Take responsibility for problem solving, root cause analysis, and devising testing methodologies for validation and articulately explaining data sources to senior audiences.
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Continuous improvement: Support and enable improvement initiatives related both to IPA deliverables (e.g. new, innovative data sources, analytic insights, tools) as well as operational process improvement (e.g. improving IPA processes and communications).
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Collaborate with the Information Technology team and data scientists to develop scalable and advanced analytics-based solutions that directly help with improved viewership of Gartner content.
Job Requirements: