Director, Gear Analytics
$145k - $175kVail Resorts
Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you!
Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).
Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators, and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you!
Job Summary:
Vail Resorts is looking to hire a Director of Gear Analytics. The Gear Analytics team sits within Vail Resorts' Enterprise Analytics function under the Chief Revenue Officer and is responsible for helping shape the strategic direction of Vail Resorts' rental business and drive topline growth. The team leverages Vail Resorts' proprietary data to generate insights about guest behavior, preferences, and experiences that create value for the business.
This role leads a small analytics team and partners closely with leaders across business teams, Operations, Finance, and Analytics to support revenue growth initiatives, steward core analytical processes, and deliver executive-ready insights. This individual should demonstrate strong business acumen, structured problem-solving, and learning agility, with the ability to balance strategic thinking with hands-on analytical leadership.
Job Specifications:
Starting Wage: $145,000 - $175,000 + annual bonus + equity
Employment Type: Year Round
Shift Type: Full Time hours
Minimum Age: At least 18 years of age
Housing Availability: No
Job Responsibilites:
[Strategic Analytics] Lead analyses to support growth strategies and key business initiatives. Support evolution of the Rental business, including the future of My Epic Gear
[Guest Insights] Leverage guest behavioral and transactional data, experience feedback, and research to deepen understanding of the Gear guest journey, identify opportunities to enhance the guest experience, and inform business strategies that drive long-term growth
[Performance Insights & Reporting] Oversee reporting evolution and performance insights for executive and business stakeholders; translate findings into actionable recommendations
[Planning & Forecasting] Partner with Finance and business leaders to support budgeting and forecasting processes through analytical stewardship and decision support
[Data & Capability Development] Collaborate with data enablement, engineering, and other analytics partners to strengthen foundational datasets and advance analytical capabilities
[Pricing Support] Provide analytical support to inform pricing strategies and evaluate business performance, including test & learn plans and measurement
[Leadership] Lead and develop a high-performing analytics team through coaching, prioritization, and effective feedback focused on continuous improvement
[Partnership] Build strong cross-functional relationships to drive shared outcomes and influence decisions across the organization
[Communication] Develop clear, concise, and compelling presentations and recommendations for senior leadership audiences
Why this Role is Special:
Vail Resorts is at the forefront of the Travel and Tourism industry - redefining the ski industry in the 21st century
Leveraging analytics is a core pillar of Vail Resorts' strategy - a critical driver of our success leading to a strong willingness to invest
We are a data-driven business with a proprietary guest database unmatched by any other company in the industry - a great foundation for building out advanced analytics
Direct exposure to leaders of the business - a unique opportunity to team with our business leadership to reimagine analytics
All the free skiing / riding you and your dependents can handle - free Epic passes, discounted lodging and retail
Job Requirements:
8+ years of experience in analytics, consulting, finance, strategy, or similar fields
Previous experience leading and developing high-performing teams
Demonstrated success applying analytics to solve strategic business problems and support executive-level decision-making
Strong quantitative skills with experience deriving guest and business insights from large and complex datasets
Experience with analytical tools such as SQL, Snowflake, Databricks, or similar technologies
Experience with data visualization tools such as Tableau or similar platforms
Advanced skills with Microsoft Office applications, including Excel and PowerPoint, with demonstrated success developing executive-ready presentations and materials
Demonstrated strength in written and verbal communication, adjusting messages appropriately for a variety of audiences, including senior leadership
Excellent interpersonal and relationship management skills, with the ability to influence across functions and outside of direct reporting relationships
Strong organizational and project management skills, with the ability to prioritize across multiple initiatives and stakeholders
Bachelor's degree required; MBA preferred
The expected Total Compensation for this role is $145,000 - $175,000 + annual bonus + equity. Individual compensation decisions are based on a variety of factors.
Job Benefits
Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
MORE employee discounts on lodging, food, gear, and mountain shuttles
401(k) Retirement Plan
Employee Assistance Program
Excellent training and professional development
Full Time roles are eligible for the above, plus:
Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
Free ski passes for dependents
Critical Illness and Accident plans
Vail Resorts offers a 'Hybrid' work environment where employees living within 50 miles of the Broomfield office work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays. Employees living outside of a commutable distance can work remotely from British Columbia, Washington D.C., and the 16 U.S. states* in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming.
Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion.
In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution.
We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.
Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.
Requisition ID 515151
Reference Date: 06/10/2026
Job Code Function: Marketing Analytics
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