People Analytics Data Scientist

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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. Key responsibilities include:

• 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

Basic 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 1 years of relevant industry experience

• We are willing to consider early career talent if you are truly outstanding

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.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!