About the team:
The Advanced Analytics team within the Service Operation group generates valuable insights by interpreting large volumes of data for Service Delivery associates and their leaders around new ideas, opportunities, and strategies for engaging clients, leading to higher client retention.
What you will do:
- Lead program management of key analytic and human initiatives across the Services Analytics and Productivity Team. Oversee the life cycle of planned data, metrics, and analytics initiatives. Develop project plans, roadmaps, milestones, reporting mechanisms, and operation protocols. Create executive-level communications and presentations.
- Design, Define and develop new metrics to support analytics team members with data and reporting requirements. Help develop, maintain, and document data model, data dictionary and data flow diagrams. Partner with internal stakeholders on the architecture, prototyping and automation of data extracts. Guide the transformation, cleansing, and integration of data from multiple sources.
- Lead the metrics governance and data council to ensure new metrics are created with organizational alignment in mind and are defined congruently with existing definitions if they exist. Develop control structures within a simple environment to ensure the accuracy and quality of data through all upstream and downstream data channels. Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the Automation team.
- Manage a team of around 5-10 people; Be an effective leader, train and coach new hires specializing in business and advanced analytics projects; drive team building and recruiting activities. Work with senior stakeholders closely to deliver data-driven decision making for the business.
What you will need:
9+ years of progressive analytics and data engineering experience is a must; Consulting experience is preferred. Experience in Data Governance and Metrics Management, leading data quality and data protection management practices. Experience in mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed. Expert level in Datalake, Databricks, Python or SQL to retrieve and transform data from the warehouse is a must. Strong Project Management skills, ability to set and align project priorities with Departmental strategy. Ability to break down complex problems and projects into manageable goals, to get to the heart of the problem, and make sound and timely decisions to resolve problems.
What you will get:
Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP)
- Collaborative, team-oriented culture that embraces diversity.
- Professional development and unlimited growth opportunities.
Who are we?
At Gartner, Inc. (NYSE: IT), we deliver actionable, objective insight that drives smarter decisions and stronger performance on an organization's mission-critical priorities. We've grown exponentially since our founding in 1979 and we're proud to have over 19,500 associates globally that support over 15,000 client enterprises in more than 100 countries.
Gartner's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.