Demand and Capacity Planning Analyst

USA, CA, Pleasanton

Workday

Workday unites finance and HR on a single AI-driven platform, empowering people, enabling fast decisions, and ensuring flawless operations to drive business forever forward.

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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.

About the Team

We are the Demand and Capacity Planning team and the group is responsible for developing demand forecasts and resulting capacity plans for all of Workday's computing infrastructure that supports customer services, whether it be in the company's private data centers or on one of Workday's Cloud Service Provider's platforms. The team is also responsible for developing the Infrastructure Long Range Plan (LRP). To execute its mission effectively, the team conducts detailed analyses of customer usage patterns and trends and uses statistical tools to extrapolate them into future demand estimates.

We are deeply involved with optimization efforts and leverages linear programming to find the optimum for the problems being considered.

We are adopting the FinOps model and all members are Certified FinOps Practitioners.

About the Role

The Business Process Analyst is responsible for analyzing complex business problems to be solved with informative data-driven research based on statistical tools and methodologies. Helps craft and maintain automated analytics systems. Provides technical expertise in identifying, evaluating demand trends and usage patterns that underpin actionable forecasts. Recommends future demand forecast and clearly articulates the drivers. Helps to develop systems and procedures that simplify forecasting and capacity planning tasks. They will partner with or lead cross-functional team efforts to improve forecast accuracy, ameliorate key data reporting systems and establish long term plans. Develops executive ready presentations.

Overall, the responsibilities associated with this position will scale based on a person’s experience. At minimum the analyst will:

  • Own demand forecasting and capacity planning for a given set of capacity pools.

  • Develop and maintains the periodic reporting thereof for the organization

  • Lead efforts to develop models to improve long-term demand and capacity forecasting globally in private and public cloud environments

  • Collaborate across cross-functional teams to improve the overall forecast and capacity planning processes and accuracy

  • Seek to continuously refine the models underpinning demand and capacity forecasts

  • Develop operational metrics and reports that facilitate real-time decision making

  • Build tools to improve forecasting capabilities

  • Identify and drive improvement opportunities based on operational analyses

  • Help drive the adoption of a FinOps culture in the broader organization

About You

Basic Qualifications:

  • Bachelors degree or equivalent experience with coursework in Engineering or Operations and Statistics.

  • Comfortable with mathematical modeling and quantitative analysis

  • Familiarity with AWS, GCP, OCI or Azure offerings

  • Proven knowledge of Python and Jupyter Notebook.

  • 3+ years of experience in demand forecasting.

  • Demonstrable ability to operate mostly independently

Other Qualifications:

  • Demonstrable experience in using time-series forecasting tools such as ARIMA and Winters-Holt (exponential smoothing models).

  • Proven experience in handling large datasets, developing insights from ambiguous data and facilitating team decisions.

  • Familiarity with capacity planning.

  • Highly proficient in Microsoft Excel and PowerPoint.

  • Proven experience with SQL.

  • Comfortable with presenting to senior leaders.

  • Working knowledge & understanding of data center/hardware technology, tech infrastructure and cloud (SaaS, PaaS, IaaS).

  • Understanding of P&L statements and financial processes.

  • Advanced degree or equivalent experience in Statistics or Operations Research.


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 click here.

Primary Location: USA.CA.Pleasanton


 

Primary Location Base Pay Range: $129,200 USD - $193,800 USD


 

Additional US Location(s) Base Pay Range: $104,000 USD - $193,800 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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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

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Category: Analyst Jobs

Tags: AWS Azure Engineering Excel GCP Jupyter Python Research SQL Statistics

Perks/benefits: Career development Flex hours Home office stipend Salary bonus

Region: North America
Country: United States

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