Senior Analyst: Data Engineering
About The Position
The Data Science & Engineering team leverages internal data assets to deliver performant, scalable, and impactful data-focused solutions across the business. This team drives innovation by supporting key data assets and collaborating with technology and business partners to unlock strategic opportunities and enhance guest-facing initiatives. As a Senior Analyst on the Data Engineering team, you will lead and contribute to strategic initiatives that depend on our core enterprise data assets. You will partner closely across business, analytics, and IT teams to ensure data is accessible, reliable, and fit for purpose enabling accurate reporting and actionable insights across the organization. This role will collaborate extensively with multiple Lines of Business, with a primary focus on Marketing Analytics, to design, build, and maintain the data and reporting infrastructure that powers Business Insights.
Requirements
- Advanced degree in a quantitative field (e.g. Computer Science, Business Analytics)
- At least 3-5+years of hands-on data engineering experience
- A demonstrated ability to design data-driven solutions that meet business needs accounting for data availability and technical implementations considerations
- Experience with handling large digital marketing data sets (log-level website, app, and paid media data) efficiently and reliably across cloud infrastructure
- Advanced proficiency in Python, SQL, and dbt modeling practices
- Experience with cloud warehousing platforms (e.g. Snowflake or Databricks)
- Experience with data visualization platforms (e.g., Tableau, Power BI)
- Detail oriented self-starter with a proven ability to deliver cross-functional solutions
- Ownership: take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions
- Business acumen: understand the bigger picture for customers and the business while connecting your work to key objectives for both
Nice To Haves
- Experience with cloud platform/s (e.g., Azure, AWS) is preferred
Responsibilities
- Build scalable, end‑to‑end data pipelines and audit existing infrastructure supporting Marketing Analytics use cases, integrating sources such as website, app, email, and paid media data.
- Partner with analytics team to design and maintain governed, reliable, and production‑ready data assets.
- Manage cross‑functional relationships with IT, analytics, and marketing stakeholders to ensure alignment on data architecture and business use cases.
- Collaborate with engineering peers to architect, develop, and scale data‑driven solutions and platform capabilities.
- Translate business requirements into technical specifications; communicate findings, constraints, and solution recommendations to both technical and non‑technical audiences.
- Serve as a subject matter expert in data engineering best practices, tooling, and architectural patterns across the organization.
- Stay current on emerging technologies and industry trends; contribute to team education and mentor junior team members.
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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
