The Insights and Product Analytics (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, interaction and events analytics, demand sensing, staffing models, cost reporting, automation, expert performance analytics, 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 automation and collaboration with the Information Technology team. What you’ll do: The program involves 3-4 structured rotations in four pillars of excellence: Advanced Analytics: Lead high impact analytical projects to drive business insights across Gartner’s BTI and Product teams. Opportunity to develop skillset across multiple facets like statistical analysis, senior stakeholder communication and presentations, cross team collaboration, visualization through dashboards. Data Science: Application of latest machine learning/AI techniques on real business problems with tangible client impact. For e.g., defining features of high impact content, identifying top areas of demand for Gartner experts to provide insights on, etc. Partner with analytics and project management teams for end-to-end visibility into how data science outputs are influencing business outcomes. Structured Mentorship and guidance from senior data science professionals. Project Management: Manage project planning, execution and delivery on cutting edge analytical and business projects. Partner with analytics, data science and data engineering to play a role usually meant for mid-career leaders. Data Engineering: Support the set-up, management and streamlining of data pipelines for multiple data science and analytics projects. Partner with Gartner CDO (Chief Data Office) to help manage large volumes of client data. Partner with colleagues to do analysis that surfaces actionable insight for the BTI organization. Effectively communicate findings to drive adoption and implementation. Build dashboards and reporting. Project ownership: Contribute to key projects following rollout plan, success criteria and metrics. 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. 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). Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency.
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Job Type
Full-time
Career Level
Entry Level