Director, Analytics
Direct Travel
- Advanced-Analytics-Director
- Analytics-Director
- Analytics-Strategy-Director
- Data-Analytics-Director
- Director-Analytics
- Director-Of-Analytics
- Director-Of-Analytics-Engineering
- Director-Of-Data-Analytics
- Director-Of-Data-And-Analytics
Assessed from original listing evidence
The role
Job description
Role Overview
Direct Travel is seeking a Director of Analytics to lead the strategic direction, architecture, and delivery of its global analytics platform. The platform serves internal stakeholders and thousands of clients worldwide, making it a critical investment for the company. The ideal candidate has a hands-on technical background, experience in leading analytics engineering teams, and a proven track record of delivering production analytics products.
What You Will Do
The Director of Analytics will define and execute the multi-year roadmap for the global analytics platform, drive the end-to-end delivery of analytics data products, and establish standards for data lifecycle management. They will also serve as a senior technical authority on analytics architecture decisions, provide hands-on guidance on query performance tuning, and lead the design of bespoke data products.
Why It Might Be a Fit
The right candidate has a demonstrable track record of delivering both internal and externally facing analytics products, understands the engineering rigor required to operate a multi-tenant analytics platform, and can recruit, mentor, and elevate a high-caliber team while continuing to provide deep technical guidance.
Requirements
- 10+ years of progressive experience in analytics engineering, data engineering, or a closely related technical discipline
- 5+ years in a leadership role directly managing and growing analytics or data engineering teams
- Proven track record of personally delivering production analytics products
- Demonstrated experience recruiting, hiring, and developing analytics engineering talent
- Senior-level fluency in cloud data warehouses (Snowflake), cloud providers (AWS, Azure, GCP), and analytics & BI platforms (Looker, LookML)
- Expert-level SQL skills, experience with semantic modeling, and hands-on experience with dbt
- Strong proficiency in Python, working knowledge of additional languages (R, Scala, Java), and solid understanding of the software development lifecycle
Benefits
- Medical, Dental, and Vision benefits
- Employee rewards and recognitions program
- Total Rewards Package (Wellness, Sustainability, DE&I initiatives, and Mental Health Support)
Originally posted on Himalayas
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