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Cboe

Sr. Analyst, Business Strategy & Operations

Chicago, IL

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hirly's read of this role

Role family
Operations
Seniority
Senior
Country
US
Work mode
On-site / unstated
First seen by hirly
24 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job Description:

Building trusted markets — powered by our people

At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.

We’re building meaningful ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities.

To support strong partnership and team connection, this role follows a four day in office work model.

Role Overview

The Sr. Analyst, Business Strategy & Operations will serve as the analytical and operational engine behind Cboe's global Market Data Administration organization - functioning as chief of staff and de facto business operator to senior global market data leadership. Reporting to the Head of Market Data Administration, this role owns the metrics, reporting frameworks, and operating cadence that the business runs on.

This is a builder's role. Market Data Administration sits at the intersection of contracts, entitlements, usage reporting, billing, and compliance across thousands of firms worldwide. The person in this seat will decide what gets measured, automate what shouldn't be manual, and turn a large volume of operational data into decisions leadership can act on.

We are looking for raw analytical horsepower paired with genuine business instinct. The ideal candidate is technical by training or by trade - an engineer, data analyst, or similar - fluent with databases, exceptional in Excel, and motivated to grow into a skilled business operator rather than remain a pure analyst.

Experience in financial markets is a plus, not a prerequisite; we will teach the market data business to someone who brings the horsepower and the appetite.

The individual will be a self-starter who is intelligent, eager, personable, highly organized, and comfortable operating with ambiguity in a fast-paced, complex, and intellectually rewarding environment.

Location: Selected candidate must be willing to work a hybrid schedule in our Chicago office. Approximately 10% travel.

Your Responsibilities Will Be

Strategy & Execution

Serve as a thought partner to senior global market data leadership on strategic priorities, translating direction into executable plans with clear owners, milestones, and measures of success

Drive the operating cadence of the organization (planning cycles, business reviews, and leadership meetings) and hold the organization accountable to its commitments

Own business case development for headcount, tooling, and technology investments; build the model, defend the assumptions, and carry the decision through to implementation

Prepare analysis, memos, and executive-ready materials for senior leadership and cross-divisional stakeholders

Analytics, Reporting & Automation

Design and build the KPI and metrics framework for Market Data Administration: define what matters, source the data, and make the reporting trustworthy

Query operational data directly across databases and reporting platforms to answer questions no existing report answers

Build and maintain dashboards and recurring reporting that replace manual effort; identify automation opportunities and drive them to implementation

Develop financial and operational models covering capacity, workforce, revenue at risk, and scenario analysis

Operational Planning & Organizational Design

Lead operational planning, workforce analysis, and capacity modeling across a global team

Assess organizational structure and process against actual workload; recommend and implement changes that improve throughput and scalability

Document and standardize core processes, and establish controls and quality measures where none exist today

Cross-Functional Partnership & Process Optimization

Partner with Sales, Client Experience, Market Data Services, Product, Legal, Compliance, Finance, and Engineering to resolve complex issues that span team boundaries

Serve as an escalation point for operational issues that cross organizational lines, and provide thought leadership on operational excellence and scalability

Support technology adoption across the organization, including entitlements, usage reporting, billing, and administration platforms

The Ideal Candidate Has

5+ years of experience in business operations, strategy and operations, data analytics, consulting, engineering, or a comparable analytical role

BS in Engineering, Computer Science, Data Analytics, Mathematics, Economics, Finance, or a related quantitative discipline; MBA or other advanced degree strongly preferred

Advanced Excel skills: able to build models from scratch and work confidently with large datasets, pivot tables, Power Query, and complex formula logic. This is a real requirement, not a checkbox

Working fluency with databases and data structures; SQL experience is a significant plus

Proficiency with data analysis, reporting, and visualization tools such as Sigma, Power BI or Tableau

Demonstrated ability to bridge technical analysis and business decision-making; someone who can write the query and then explain what the business should do about the answer

Strong business acumen and a clear ambition to develop into a skilled business operator

Excellent written and verbal communication, including prior experience preparing written analysis and documents for senior audiences

Ability to prioritize across multiple competing projects, shift focus quickly as priorities change, and identify and escalate risks to successful execution early

Sound judgment on complex and ambiguous matters, and a service orientation toward internal and external stakeholders

Self-starter who delivers both independently and as part of a team, and meets deadlines without being managed to them

Experience in financial markets or the market data business is a plus, not a requirement

More About Cboe Global Markets

We’re reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed.

We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.

Learn more about life at Cboe on our website and LinkedIn .

Equal Employment Opportunity

We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. We are committed to fostering a workplace where all individuals are valued and respected.

#LI-CS

This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Salary Ranges (applicable for US locations only)

At Cboe, we are committed to providing a competitive, transparent, and market‑informed total rewards program. The anticipated base salary range for this role is $102,850-$133,100, with actual compensation determined by job‑related factors such as skill

Original posting on Cboe's site ↗

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