Senior Business Intelligence Analyst

Posted Yesterday
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Pleasanton, CA, USA
In-Office
118K-210K Annually
Senior level
Cloud • Fintech • HR Tech
The Role
Partners with finance and engineering leadership to build cloud cost governance, forecasting, and optimization models across AWS and GCP. Queries and models billions of billing records, deploys agentic AI tools to monitor spend and execute optimization actions, and establishes governance frameworks for autonomous agents. Leads enterprise initiatives with measurable financial impact, mentors analysts, presents to senior leadership, and drives cross-functional alignment.
Summary Generated by Built In

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. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

At Workday, our FinOps organization is doing far more than just managing cloud spend — we are engineering the future of cloud economics. As we expand our impact across Workday's multi-cloud ecosystem on AWS and GCP, our team leverages a cutting-edge stack that includes agentic AI tools and sophisticated machine learning models to automate planning, precision forecasting, and cost optimization at a massive enterprise scale.

About the Role

As a Senior Business Intelligence Analyst, you will operate as a strategic partner to finance and engineering leadership, architecting the next generation of cost governance and forecasting models across AWS and GCP. Our billing datasets run to billions of rows a day, so the ability to handle data at scale is key. You need to be equally fluent in finance fundamentals (pricing, cost modeling, forecasting) and in querying and reasoning about massive, granular billing data.


You will bring an agent-first mentality to everything you build: before designing any new process, workflow, or reporting mechanism, you will default to asking "can an AI agent own this end-to-end?" — and design accordingly. You will own the deployment and continuous refinement of agentic AI tools that autonomously monitor spend, flag anomalies, and execute cost-optimization actions at enterprise scale, and you will architect the governance frameworks that let those agents operate safely and independently. This role carries a mentoring and thought-leadership component, guiding junior and mid-level analysts, and representing FinOps in cross-organizational initiatives.


About You

Basic Qualifications

  • 6+ years' experience defining, designing, and implementing solutions to achieve desired business outcomes by evaluating, diagnosing, and evolving business processes and software technologies, and applying advanced metrics for evaluating economic success in the public cloud
  • Proven ability to work with large-scale billing/usage datasets (billions of rows daily) — strong SQL skills and comfort querying and modeling at that scale are essential; this is not a spreadsheet-first FP&A role
  • 3+ years of experience analyzing or operating software systems in one or more public cloud service providers (AWS, GCP, or Azure), including at least one year leading or mentoring other analysts
  • Demonstrated experience designing and deploying agentic AI tools or workflows as the primary mechanism for solving business problems, not as a bolt-on to existing manual processes
  • Demonstrated experience leading enterprise-scale initiatives with measurable financial impact

Bonus Qualifications

  • Direct experience working at a hyperscale cloud provider (e.g., AWS, GCP, Azure)
  • Prior experience specifically in a FinOps role or function
  • Hands-on experience building or deploying AI agents (not just using AI tools)
  • Background in pricing strategy and cost optimization at scale

Other Qualifications

  • Bachelor's degree or equivalent work experience; advanced degree (MBA or similar) a plus
  • Proficiency in SQL and large-scale data querying/analysis; familiarity with BI/visualization tools such as Power BI or Tableau, in addition to Excel/Google Sheets
  • Exceptional written, visual representation, and verbal communication skills, including experience presenting to senior leadership
  • Six Sigma certification or equivalent process-excellence credential highly desirable
  • Proven ability to influence without authority at the executive level and drive alignment across teams with varied strengths, functions, and leadership levels
  • Strong track record of mentoring junior team members and elevating team-wide practices
  • Comfortable operating with high autonomy in ambiguous, fast-changing environments


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: $139,800 USD - $209,600 USD


 

Additional US Location(s) Base Pay Range: $118,000 USD - $209,600 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.


Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.


Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.


If you require a reasonable accommodation, you may email [email protected], as far in advance as possible.


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

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.

Skills Required

  • 6+ years defining, designing, and implementing business solutions involving process evaluation, software technologies, and advanced cloud economics metrics
  • Strong SQL skills and experience querying and modeling large-scale billing and usage datasets, including billions of rows daily
  • 3+ years analyzing or operating software systems in AWS, GCP, Azure, or another public cloud environment
  • At least 1 year leading or mentoring other analysts
  • Experience designing and deploying agentic AI tools or workflows as a primary business problem-solving mechanism
  • Experience leading enterprise-scale initiatives with measurable financial impact
  • Bachelor's degree or equivalent work experience
  • Proficiency in SQL and large-scale data querying and analysis
  • Exceptional written, visual, and verbal communication skills, including presentation to senior leadership
  • Ability to influence without authority and drive alignment across teams and leadership levels
  • Track record of mentoring junior team members and improving team-wide practices
  • Ability to work autonomously in ambiguous, fast-changing environments
  • Direct experience at a hyperscale cloud provider such as AWS, GCP, or Azure
  • Prior FinOps experience
  • Hands-on experience building or deploying AI agents
  • Experience with pricing strategy and cost optimization at scale
  • Advanced degree such as an MBA
  • Familiarity with Power BI or Tableau and Excel or Google Sheets
  • Six Sigma certification or equivalent process-excellence credential

Workday Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workday and has not been reviewed or approved by Workday.

  • Healthcare Strength — Health coverage is highlighted as a core strength within a broad total-rewards program, with materials emphasizing medical care alongside overall wellness resources. The benefits approach is presented as supporting employees both at work and outside it.
  • Parental & Family Support — Family-oriented benefits are emphasized, including resources for major life events and caregiving support as part of the package. This focus is positioned alongside health, finances, and retirement to address needs beyond salary.
  • Leave & Time Off Breadth — Paid time off is featured prominently within the benefits mix, contributing to perceptions of a comprehensive offering. The breadth of leave is framed as part of a holistic program that supports work-life balance.

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The Company
HQ: Pleasanton, CA
14,894 Employees
Year Founded: 2005

What We Do

Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

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