Lead Analytics Consultant

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.

The Lead Analytics Consultant is responsible for leading the design, architecture, and delivery of analytics solutions, across multiple UKG products - UKG Pro, UKG Pro WFM, and UKG Data Hub. This role serves as a subject matter expert and trusted client advisor, driving solution strategy, ensuring high-quality delivery, and mentoring team members.
The role is responsible for defining architecture, establishing best practices, and guiding the development of complex analytics and reporting solutions using IBM Cognos and related technologies to deliver scalable and high-performing outcomes.

Working closely with Program Managers, Engineering, Platform Support, and Analytics teams, the Lead provides technical leadership and oversight to ensure solutions meet design standards, scope, and customer expectations.
Additionally, the role focuses on driving innovation through AI-driven insights and automation, improving delivery efficiency, and supporting clients in shaping analytics strategy and continuous improvement.

Responsibilities
• Lead end-to-end solution design and architecture for analytics implementations
• Act as primary SME for IBM Cognos (Reporting, Framework Manager, Dashboards)
• Drive best practices, standards, and governance for reporting and data models
• Work with Looker and modern BI tools where applicable
• Collaborate on solutions leveraging data lake for multi-product data integration
• Identify and implement AI/Automation opportunities in analytics reporting processes
• Act as escalation point for complex technical and functional issues
• Mentor team members and contribute to capability building and knowledge sharing