Sr Director Data Analytics

BTI Analytics, Insights and Products Analytics Team Overview

The BTI Analytics team is part of the Insights and Products Analytics team within the Business and Technology Insights (BTI) Business Unit and performs analysis related to all aspects of Gartner's Insights business. This includes analyzing client value drivers such as content, client interactions, BTI role in conferences and events, and internal BTI associate performance analytics. 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 Senior Director who is a proven highly analytical problem solver, has strong technical understanding of data/data systems, and is an exceptional coach. This individual may lead a small team in the future and should be comfortable rolling up their sleeves to "get the job done" as well as leading strategic initiatives.

This role will primarily focus on ownership of end‑to‑end deliverables on cross‑functional projects such as associate performance goals and coaching metrics, client engagement and retention dashboards, and key metrics overview across all BTI roles. Initiatives involve data definition, data pull, technical understanding of Gartner data, analysis for insights, building recommendations, visualizing data, and scaling through automated visualizations and reporting.

• Build mechanisms to measure current performance goals and improvement opportunities for associates, including what metrics matter.
• Understand the BTI org and build/enhance end‑to‑end dashboards to communicate associate performance, bright spots, opportunities, trends, and root causes.
• Enable a destination postcard for managers to access insights, best practices, and data for coaching their teams.
• Identify cross‑functional opportunities across assets produced by BTI and drive analysis/insights to recommendations.

This is an exciting opportunity to be hands‑on in fueling Gartner's revenue growth and retention through world‑class content, client interactions, and conferences/events.

• Build expertise to be the center of excellence on Gartner BTI data, with deep knowledge of data across source systems, the data warehouse, and dashboards/reports so analysis is unassailable and other Gartner teams rely on the data and guidance we provide.
• Coach your team to be world‑class analytical experts who can think critically, break ambiguous problems into solvable work streams, analyze using right quantitative models, discover meaningful patterns, visualize outcomes, and build automated dashboards/reports.
• Influence and guide stakeholders (BTI, Insights Strategy & Ops, HR, and Global Product Management) with insights and recommendations from analysis.
• Develop and continuously improve analytical methodologies for BTI (and other BUs).
• Execute on the approach to deliver functionality iteratively.
• Take initiative to identify and roll out improvement initiatives.
• Own problem structuring, analysis and implementation of strategic initiatives and key, cross‑organizational deliverables, partnering with stakeholders and coaching team members.

• Experience: 12+ years of progressive business experience involving advanced business analytics, complex problem solving, and business strategy.
• Education: Bachelor's Degree required;
  Master's Degree preferred with a concentration in statistics, data science, mathematics, engineering, computer science, or operations research.
• 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 well as visualize it.
• Statistical analysis: identify patterns and trends in 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: data hygiene, quality checks,…