At a Glance
- Tasks: Unlock data insights and drive strategic execution for Workday's Data Cloud business.
- Company: Join a Fortune 500 company shaping the future of work with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and a supportive environment for growth.
- Other info: Dynamic team environment with opportunities for career advancement and innovation.
- Why this job: Make a real impact by solving complex business challenges with data-driven insights.
- Qualifications: 8+ years in analytics and data science; strong SQL and communication skills required.
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. Our culture is rooted in integrity, empathy, and shared enthusiasm. We look for curious minds and courageous collaborators who bring sun‑drenched optimism and drive.
About the Team
Workday stands at a pivotal point in its evolution and growth. As we accelerate our Enterprise AI Transformation we must focus with equal intensity on scaling our execution to enable a rapid speed of continuous innovation for our customers. The Product & Technology (P&T) Operations Analytics & Tools Team develops decision‑ready internal products that turn complex organizational data into targeted leadership action.
About the Role
We’re looking for a business, product, and customer‑oriented Senior Product Data Scientist to be the analytics partner for the Workday Data Cloud business. This role requires focused passion and excitement unlocking data insights that directly tie to strategic execution. You will dive into the raw business data, find the root cause, and deliver an opinionated, decision‑ready conclusion. You’ll need to become a genuine subject‑matter expert in Workday Data Cloud’s business data landscape.
Key Responsibilities
- Serve as the business analytics domain expert for Workday Data Cloud, providing technical and strategic thought leadership.
- Partner cross‑functionally across Go‑To‑Market (GTM) and Product teams to develop end‑to‑end views of the business.
- Translate complex data models into compelling narratives and stories that drive organizational clarity.
- Operate directly with SVP/GM‑level stakeholders, translating high‑velocity questions into structured analysis.
- Support consumption‑based pricing and impact analysis for Workday Data Cloud.
- Contribute well‑documented, curated data assets and context back into the shared knowledge base.
- Design and influence Workday Data Cloud internal business data connections.
- Leverage strong data ETL and data processing expertise to manage multi‑step flows.
- Demonstrate urgency and autonomy in problem‑solving.
About You
You possess a deep interest in grasping the complex challenges that businesses face, and you are excited by solving problems. You have strong business acumen and are outcomes focused. You thrive in a fast‑paced, tech start‑up like environment where the best ideas win. You’re energized by building trust, process, and domain expertise in a new, growing business space.
Basic Qualifications
- 8+ years of experience with advanced analytics, statistical modeling, and/or data science.
- 8+ years experience simplifying complex technical concepts for diverse stakeholders.
- 5+ years experience in business/product analytics, applied data science, or a related quantitative role.
- Strong SQL and data‑modeling skills.
- Experience with SaaS pricing analytics or usage‑based/consumption pricing models.
- Degree in a quantitative field or equivalent practical experience.
Senior Product Data Scientist in Vancouver employer: Workday, Inc.
At Workday, we pride ourselves on fostering a vibrant work culture that champions integrity, empathy, and collaboration. As a Fortune 500 company located in the heart of Vancouver, we offer our employees not only competitive compensation but also flexible work arrangements that promote a healthy work-life balance. With a strong commitment to employee growth and development, you will have access to the tools and support needed to thrive in your role as a Senior Product Data Scientist, while contributing to meaningful projects that shape the future of work.
