Sr Data Analyst

• 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 (eg, 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.

• 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 (eg, 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, analyze 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

• Experience : 3-5 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: Proven track record of solving complex problems, Critical thinking, Analytical reasoning, Innovation, and using data to influence senior level stakeholders. Demonstrated thought leadership with high business impact throughout career.

Strong technical understanding of data and skills to analyze as we'll as visualize it

• Statistical analysis incl identify patterns and trends in the data, avoid bias and apply the right models / methodologies / calculations
• Programming languages eg python, R, SQL
• Data visualization tools eg Tableau, power BI
• Attention to detail eg 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. Influencing stakeholders and team members based on a command of the facts, analysis, and implications
• Communication : Outstanding verbal and written communication structured, engaging and compelling.