Analyst, Business Analytics - Content/Interaction Analytics

The Global Product Management (GPM) organization is responsible for business performance of all research products. The Research Business Analytics (RBA) team is part of GPM and performs analysis related to all aspects of Gartner's Research. This includes client value drivers: Research content, research interaction, and the research role in conferences and events. RBA also supports the Research & Advisory (R&A) 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 an Analyst who is a strong analytical problem solver, has technical understanding of data/data systems and an exceptional team player to be part of our growing team.

This role will primarily focus on ownership of end-to-end deliverables on content and/or interaction and related assets e.g. documents, tools, advisory conversations, proposal reviews etc, including business and operational insights. Initiatives/projects involve data definition, data pull, technical understanding of Gartner data, analyze for insights, build recommendations, visualize data, scale through automate visualizations and reporting. Example objectives are

• Build end-to-end dashboards that communicate the performance of our content/interactions including root causes and insights of upcoming trends, areas of bright spots and opportunity

• Standardize and automate the top reads for a document or ways we measure reach of a document or impact of interaction etc, across the entitled licensed user base considering target role / industry / geo, the priorities navigator, and other factors.

• Build mechanisms to measure current performance and improvement opportunities, of our research assets

• Improve content and interaction reporting (e.g., scorecard, operation reviews, adhoc requests from product and R&A), dashboards, and automation

This is an exciting opportunity to be hands-on in our efforts to fuel Gartner's revenue growth and retention through Gartner's world-class, must-have content and extraordinary and timely client interactions.

What you'll do:

• Build expertise to be the center of excellence on Gartner research assets data, with deep knowledge of the data across source systems, the data warehouse, and dashboards / reports so analysis is unassailable, and other Gartner teams rely on the data we provide and guidance on how to use it.

• Partner with stakeholders (e.g., IT, Research Strategy & Operations, Content Research Excellence, and Global Product Management) to understand business needs and capabilities that can help us analyze performance and return on content investments. Continuously and collaboratively prioritize efforts against areas of highest business impact. Ensure seamless communication and change management across relevant stakeholder orgs

• Develop and continuously improve a methodology to measure engagement and thereby impact of content/interactions for Gartner

• Execute on the approach to deliver functionality iteratively.

• Continuous improvement: Take initiative to identify and roll out improvement initiatives.

• Structure large data sets to find usable information, analyse and derive insights

• Communicate: Build effective outputs that convey the root cause/clear story of solving a business problem

• Seamless collaboration across team and knowledge sharing

What you will need:

• Experience: 3+ years of progressive business experience involving advanced business analytics, complex problem solving, and business strategy.

• Education: Bachelor's Degree required. Degree with a concentration in statistics, data science, mathematics, engineering, computer science, or operations research preferred.

• Exceptional problem solving: Ability to solve complex problems, Critical thinking, Analytical reasoning, Innovation, and using data to influence senior level stakeholders.

• Strong technical understanding of data and skills to analyze as well as visualize it

• Statistical analysis incl identify patterns and trends in the data, avoid bias and apply the right models/methodologies/calculations

• Programming languages e.g. python, R, SQL

• Data visualization tools e.g. Tableau, power BI

• Attention to detail e.g. data hygiene, quality checks, documentation etc.

• Rigorous prioritization and working in fast-paced environments: Track record of success in environments with competing and continuously evolving priorities.

• Collaboration and Stakeholder management: Strong collaboration and influencing skills in a highly matrixed environment.

• Communication : Outstanding verbal and written communication - structured, engaging and compelling.