On the HR Analytics team, we build, standardize, and automate reports for HR partners, cross-functional teams, and business leaders. We create visualizations with easy to interpret analytics, uncover key drivers in data, promote data integrity, and educate end users to drive self-service adoption.
We are looking for a Lead Workday Reporting Analyst. In this role, you will lead large-scale projects, mentor teammates, research new functionality, improve reporting strategies, and support leaders with accurate and timely data for business decisions.
What you’ll be doing:
Serve as a Workday Reporting expert with deep knowledge of HCM, Recruiting, and Advanced Compensation
Partner with leaders to understand business requirements and provide sophisticated solutions to complex business problems, highlighting the benefits and risks of each option
Mentor teammates and provide support to resolve reporting issues; actively share product knowledge with peers to strengthen team
Collaborate with HRIS team to understand and evaluate how new business processes impact reports
Evaluate new functionality, review reports/calculated fields to optimize performance, and improve reporting strategy
Deliver accurate and timely data for leaders to use in making business decisions
Build and automate easy to use, self-service reports and dashboards in Workday
Audit data integrity, investigate concerns, and establish processes to streamline and improve data quality
What we need to see:
Bachelor's degree in a field where you have analyzed and displayed data or equivalent experience
8+ years of experience in reporting, analytics, and project management
Expertise in crafting advanced reports, dashboards, and calculated fields in Workday HCM, Recruiting, and Workday reporting tools (e.g. Advanced Reporting, Prism Analytics, BIRT)
Advanced knowledge of Microsoft Excel
Willingness to collaborate with teammates/users in different time zones
Strong initiative, curiosity, and comfort with uncertainty
Excellent presentation/communication skills and ability to explain technical subject matter to a non-technical audience
Ability to work in a fast-paced, constantly evolving environment and can alternate between strategic projects and tactical reporting/analysis requests
Ways to stand out from the crowd:
Proficiency in SQL
Expertise in building visualizations in Tableau
Proficiency in Alteryx, R, or Python
Experience with machine learning or text mining
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
