Lead Analytics Engineer

Gartner’s core asset is its people. Our people develop insights, share advice and create experiences that help our clients be more successful. The People Analytics & Operations team derives actionable insight from data to recommend and implement better ways of attracting, developing, and retaining our talent so that we can drive higher sales, more productivity, and better client experiences. We drive impact on Gartner’s Mission Critical Priorities by leveraging state of the art technology, analytics, and processes.

Our goal is to increase our analytical capabilities and derive actionable insights into our critical business issues, as well as create a scalable data infrastructure and user-friendly reporting environment that can effectively support our growing company. The Lead Analytics Engineer is a strategic partner within the People Analytics Engineering team responsible for the design, development, and automation of HR analytics to prepare our business for the future of work.

What you’ll do:

Lead a team of analytics professionals, providing guidance, mentorship, and technical expertise.
Design, develop, and maintain robust analytics solutions to analyze large datasets and extract actionable insights.
Collaborate with stakeholders to understand business requirements and translate them into analytics solutions and deliverables.
Recurring Audits and tracking mechanisms to ensure data accuracy and interpretability.
Optimize and fine-tune analytics solutions for performance, scalability, and efficiency
Stay updated with the latest advancements in analytics tools, techniques, and technologies, and continuously improve skills and knowledge
Collaborate with the Visier Platform Team to ensure infrastructure and pipelines are being built ahead of or in line with new capabilities.
Collaborate with the Visier Vendor team and customers to anticipate, identify and respond to issues they experience with Visier's solutions, and address technical concerns and requests
Collaborate with other cross functional teams including HR Data Engineering and HRIT teams to streamline data integration strategy related to day-to-day operations for Visier and maintain security best practices

What you’ll need:

Bachelor's or master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field
7+ years of experience in data analytics, data engineering, or related roles.
Strong analytics, automation, and data experience
Strong proficiency in programming languages such as Python, R, SQL, or others commonly used for data analysis and manipulation.
Strong proficiency with data visualization tools such as Visier, Power BI, Sisense , Tableau or similar.
Experience with database systems and SQL query optimization.
Excellent problem-solving and analytical skills with the ability to work with large and complex datasets
Visier Certified Developer certification or Strong working Knowledge in the Visier Platform

To be successful in this role, we’re seeking the following skills:

Strong growth and Learning Mindset
Ownership of Tools - Administration tasks, content development and Testing
Ability to prioritize work and ongoing changes within the work environment.
Ability to manage multiple projects simultaneously, set priorities, and meet deadlines in a fast-paced environment.
Ability to effectively communicate technical concepts to non-technical stakeholders.
Ability to build relationships cross functionally.
Ability to tell stories with data to senior leadership, identifying gaps and opportunities for improvement.
Diagnostic mindset
Ability to perform root cause analysis and deliver actionable insights.
Ability to evolve metrics that drives smarter decisions and stronger performance.
Ability to perform ad-hoc diagnostic analysis to identify operational challenges and promote best practices throughout the team.

A reasonable estimate of the base salary range for this role is 96,000 USD - 130,500 USD

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