About the Team
Our team helps Workday to make better people decisions. If your professional passion is creating a high-performance work environment by pioneering innovative people analytics and insights —then we should talk. We are looking for an experienced data scientist ready to channel all their experiences into the challenge of creating pioneering solutions that deliver breakthrough business results. The bar is high, and we believe this is a noble cause to invent and apply the contemporary people analytics insights that extend and amplify our special culture during this period of exciting growth.
About the Role
As Workday’s People Analytics Data Scientist, this role will be responsible for delivering analytics and insights related to our people, culture, and leadership. Specifically you will be working closely with members of the HR Partners, Talent Acquisition, Belonging & Diversity, Total Rewards, and Talent Experience to drive Workday’s continuing success.
Basic Qualifications:
Interact with business leaders and product teams to identify business questions and issues for data analysis and experiments.
Transfer data between systems, especially Workday HRIS system and other software used by employees at Workday.
Develop algorithms and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Conduct analytical research studies and establish predictive analytics related to recruiting, retention, growth, performance, team effectiveness, and leadership effectiveness connected to business needs.
Identify meaningful insights from both qualitative and quantitative data; interprets and communicates analysis insights and findings to business executives and relevant products teams to drive executive decision making about our talent strategy.
Partner with our product colleagues in People Analytics to align insights and strategies to implement as the new product becomes live.
Create compelling enablement content so that other business leaders and People Partners can readily use the insights provided.
About You
Other Qualifications
Academic background in a quantitative field such as Computer Science, Statistics, Engineering, Economics, Physics, or related fields. Advanced degree preferred.
Proficiency with 1+ programming languages (e.g., R or Python) in addition to SQL
Experience in cleaning, analyzing, and visualizing both structured and unstructured data.
Proficient in machine learning methods
Familiarity with AWS and Github
Broad knowledge of applied statistics and causal inference
Strong business intuition, data analysis skills, as well as business presentation skills to share findings
Creative and passionate about seeking new solutions to problems and opportunities
At least 3 years of relevant industry experience (we are willing to consider early career talent if you are truly outstanding)
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .
Primary Location: USA.CA.PleasantonPrimary Location Base Pay Range: $175,500 USD - $263,300 USD
Additional US Location(s) Base Pay Range: $148,200 USD - $263,300 USD
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
