We are: Entrepreneurial, Local, Transparent, Personal, and Collaborative.

Based in Colorado, East West Hospitality has more than 30 years of success in a diversity of businesses including association, rental and property management, hotels, spas, fitness, restaurants, and retail operations. EWH actively manages over 85 Homeowner Associations and more than 2,500 units with over 1,300 employees in Colorado, Utah, South Carolina, California and Hawaii. EWH is honored to provide a comprehensive collection of condominiums, townhouses, luxury homes, and hotels within its vacation rental program. With more than $2 billion in assets under management, East West Hospitality prides itself on offering optimal results for owners and genuine hospitality to our guests and employees.

For those who believe where they go says a lot about them, we are partners who deliver genuine hospitality. We help simplify the complicated by sharing the places we love and know best; allowing you to not just be in our destinations, but truly live our destinations.

EXCEPTIONAL EMPLOYEE RETENTION RATES

As a direct result of our culture, we have incredible retention rates. We operate in incredible resort markets, typically requiring a significant number of seasonal employees. Many of these return to us year after year. Our permanent, core, year round staff has been with the company for an average of 6.8 years

To enable this work, we are hiring a passionate individual contributor who will help take our analytics platform to the next level. Do you have great ideas and the enthusiasm to build them? Join our team! Together, we will brainstorm, collaborate, design and deliver solutions that support each other, our community, our environment, and those we serve.

About the team:

We take our work seriously while recognizing that work is just one part of being a real human. We value people as our most important resource and facilitate a positive working environment, work/life balance, and professional growth. We rise and fall as a team.

For this role, there is minimal travel (2-3 times a year); expect to get your chance to periodically visit the beautiful mountains of the Vail Valley to kick off major initiatives and meet folks in person. This job is remote, but must be based in one the states we are able to support employees: AZ, CA, CO, FL, GA, HI, MI, MO, NC, NJ, NV, NY, SC, TX, UT.

We firmly believe that talent comes in a great variety of forms from a wide variety of backgrounds, experiences, perspectives, and lifestyles.

About the Role:

The Senior Data Analyst will play an integral part in positioning East West Hospitality for continued success in the future. As an individual contributor, you will play a critical role in the development, improvement, and maintenance of data-driven decision-making through advanced data analysis and visualization tools, primarily using Snowflake SQL, modern BI tool, dbt, GitHub. You will help shape company-wide analytics and lead efforts to create data-driven insights and support decision-making across the organization, working closely with stakeholders from multiple departments. You’ll help support the evolution of a robust and scalable analytics platform.

The ideal candidate will be able to thrive in ambiguity, own and execute multiple concurrent deliverables (both hands-on as an individual contributor and by mentoring and guiding the team) while working effectively with executive leaders and stakeholders across the company. You’ll ensure all stakeholder analytics needs are met in a repeatable and scalable way, while planning, delivering, and evolving our data management and reporting environment to meet the needs of our rapidly growing business and driving actionable insights that make a real impact on our business. We’re looking for someone excited about driving positive business impact through data!

This is both a technical and informal technical leadership role: expect to be involved at all levels of projects.

Key objectives:

• Conduct in-depth analysis and provide actionable insights such as interactive dashboards and visualizations to address stakeholder requirements
• Relationship Management: Build strong relationships with our stakeholders, understanding their needs and providing exceptional customer service.
• Mentor and support other team members in developing their analytical skills and understanding of data tools.
• Collaborate with team members to integrate data sources, ensuring data integrity and consistency across the organization.
• Undertake specific initiatives to improve company data integrity.
• Develop, maintain, and optimize data models using SQL and dbt.

Reports To: Director of Data Science and Analytics

Minimum Qualifications:

• Legally eligible to work in the US without sponsorship - Sponsorship not available.
• Bachelor's degree or equivalent experience
• 4 years of post-undergraduate analytics experience (includes time towards advanced degrees), including a minimum of 2 years in a professional analytics capacity
• Advanced/Expert SQL skills, including complex queries, data manipulation, and optimization techniques
• Hands-on experience with reporting tools (such as Snowflake, Mode, Looker, Tableau, PowerBI, Github, dbt)
• A strong sense of personal humility
• Flexibility, curiosity, adaptability - we are a growing and changing data environment
• Ability to be effective in an organization where staff work in a combo of remote, hybrid and onsite locations.
• Strong project management, organizational skills and ability to engage stakeholders and meet deadlines for multiple tasks simultaneously.
• Strong attention to detail and commitment to data integrity
• High level of written and oral communication skills

Ideal but not required:

• Experience with cloud warehouses, familiarity with Microsoft data stack (SSIS/SSMS/ SSAS) and semantic languages like DAX, and other analytics languages such as Python
• Data Engineering & DevSecOps experience (terraform, ansible, AWS)
• Master’s or advanced degree in a quantitative field
• Bachelor's degree in a quantitative field (e.g. computer science or natural sciences)
• Master’s or advanced degree in a quantitative field
• Experience creating predictive models of success based on past business performance