Summary

Hyatt Hotels Corporation is an international hotel operating company with $4.5B in annual revenue and more than 850 properties spanning more than 60 countries.  We are dedicated to completely reinventing the way we engage with our guests and are actively seeking transformative digital professionals to play a key role in these efforts.  As a family-owned business since 1957, Hyatt has expanded to a global organization spanning 19 individual brands and engages with millions of customers every single year.

Hyatt is seeking a Senior Manager of Digital Revenue to work closely with the Head of Digital Finance and identify new potential areas of investment as well as analyze expenses to optimize cost.  This individual will be responsible for extracting large datasets directly from the data warehouse and conducting advanced analytics and financial modeling in order to present a clear story to executive leadership.  By working side-by-side with key stakeholders, this professional will play a critical role in the ongoing digital transformation at Hyatt hotels.

Responsibilities

Analyze expenses and financial reports in order to accurately model out multiple hypotheses and enable data-driven decision making.

Present clear stories to executive leadership backed by historical and predictive data.

Extract data directly from multiple data sources utilizing SQL.

Conduct advanced analytics utilizing Python and R.

Create self-service, customizable dashboards in Tableau.

Grow and manage a team of up to 1-3 analysts and data professionals.

Be comfortable in a fast-paced, iterative, experimental, and data-driven environment.

Continuously learn and keep up to date with emerging technologies to evaluate impact to the business and member value.

Demonstrating a commitment to Hyatt core values.

The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

Qualifications

Experience

5+ years of experience in Financial or Revenue Analysis

Familiarity with data scripting languages such as Python or R

Knowledge of SQL and an ability to conduct queries directly from a data warehouse

Extensive experience creating clear financial presentations and delivering them to executive leadership

Prior hospitality industry experience a plus

Education

Bachelor's Degree in Accounting, Mathematics, or Computer Science

Master’s Degree in Business Administration or Data Science