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.

The Digital Analytics team serves as internal consultants to key areas within the business, including Digital, Customer, Marketing, and Commercial Services channels, including the Revenue and Sales organizations.  The team consists of both embedded subject matter authorities, who serve as strategic advisors to business stakeholders and technical guides proficient in Adobe Analytics, Adobe Target, Tag Management (Tealium/GTM//mParticle), Tableau, Python, R, SAS, and SQL.  The team is fully integrated within the business functions to ensure close partnerships and the expertise to effectively discover, measure, optimize, and drive overall company performance.

This individual will serve as the subject matter expert in Digital Analytics and provide strategic guidance in all related partnerships across the commercial services organization to produce highly measurable, scalable, and sustainable results.  This role will also be responsible for providing an internal consulting partnership across web, mobile, and digital while developing lifecycle strategies via Adobe’s analytics ecosystem.

This role will be responsible for tag management on Hyatt.com and the Hyatt App using Tealium iQ, and have a solid foundation in HTML, CSS, JavaScript and deep understanding of clickstream data. The candidate will deliver data driven insights related to guest digital behavior using Adobe Analytics and have the ability to perform statistical methodologies such as regression analysis, cluster analysis, cohort analysis, forecasting, and reporting. Additionally, this individual will be responsible for extracting large datasets directly from the data warehouse and conducting advanced analytics and financial modeling and forecasting in order to present a clear data story to executive leadership.

A successful candidate will also have strong quantitative problem-solving skills with knowledge of the cross-functional groups within a corporate setting. The candidate should be familiar with multi-site eCommerce architecture, design and analytics across multiple digital channels. The candidate must understand how to interpret digital metrics and data used to track, measure and analyze online behaviors, performance, experiences and transactions. A successful candidate will also have a strong understanding of statistical analysis related to research and testing. Seeking a candidate who desires to continuously learn and work with all aspects of digital marketing analytics - testing, targeting, optimization, analysis and data maintenance - while combining technical skills with effective communication, interpersonal leadership skills, and a drive to excel.

Experience

Strong knowledge of web analytics and tracking methodologies particularly within the eCommerce space (tag management & pixel tracking, hit-level data analysis, customer behavior analysis, etc.).  Hands on Experience with Tealium/mParticle. 

Extracts large datasets directly from the data warehouse and conducting advanced analytics to uncover hidden patterns.

Provide analytical monitoring, suggestions, and guidance for the pod and digital and commercial service channel mix including KPIs and success metrics for individual tests, projects, product inception, launches, and MVPs, and recommendations around decisions based on deep data analysis within all unique segments.

Strong knowledge of hypothesis testing and statistical analysis methodologies (t-test, z-test, ANOVA, etc.).

Partner with, guide, and educate team members for self-service data and analytics needs to create a data-savvy culture..

Create standard reporting, dashboards, and metrics so that everybody is telling the same story with confidence, accuracy, and alignment.

Consistently monitor, design best practices for processes and communicate the product release cycles insights for functional issues events and real business impacts.

Develop insightful live-dashboards and reports in Adobe and Tableau, tracking performance across web platform/sales funnel, to promote data-driven understanding, commitment, decision-making, and conversion optimization.

Consult, present, and educate Hyatt teams on the best practices and use cases specific to the vertical and key business requirements to promote the digital transformation and evolution of a sustainable high volume and agile A/B testing product environment.

Uncover data science and predictive modeling opportunities for product and digital channel owners via segment build, communication, alignment, activation and personalization efforts.

Develop customer experience maps & cyclic testing designs for continuous optimization.

Present and influence leaders throughout commercial services with data story clearly articulating the “What”, the “Why” and the “So What as well as producing recommendations and influencing leaders to make data driven decisions.

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

Bachelor’s Degree; MBA preferred

7+ years of experience in digital product analytics or related field, hotel industry experience preferred

Strong knowledge of hypothesis testing and statistical analysis methodologies (t-test, z-test, ANOVA, etc.).

Ability to perform statistical methodologies such as regression analysis, cluster analysis, cohort analysis, forecasting, etc.

Strong knowledge of web analytics and tracking methodologies particularly within the eCommerce space (tag management, hit-level data analysis, customer behavior analysis, etc.).

Hands on Experience with tag management platforms: Tealium/mParticle

Deep understanding and subject matter expertise of digital product analytics taxonomy, governance and data hygiene/quality/controls

Solid understanding of digital product workflow in an agile environment. Strong knowledge of scripting and automation tools related to analytics, dashboarding, and ETL, and report automation.

Extensive understanding of data analytics, communications, and A/B and Multivariate testing within pod environment best practices

In-depth knowledge of data sciences technologies: SQL, Python, R, Tableau, Excel

Experienced with front-end web-development languages: HTML, CSS, JavaScript

Sophisticated understanding of data visualization techniques.

Ability to document use cases, business requirements, functional updates, technical specifications, and solutions diagrams

Familiarity with customer data, personalization, and customer engagement metrics sourced from digital marketing channels

Ability to creatively solve problems, develop new tactics and address implementation obstacles

Ability to work with and properly relay information to both business and technical partners.

Highly motivated, assertive self-starter with the ability to work autonomously and as an active team participant

Exceptional communication skills able to tell data story to business stakeholders and answer what happened, why, and so what!

Platform Experience: Adobe Analytics, Google Analytics, Adobe Target, Tableau, Tealium/AudienceStream, mParticle, Qualtrics Site-Intercept, JIRA/Confluence

Education

Bachelor’s Degree in Computer Science, Statistics, Data Science, or related field