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RemoteListed Jun 5, 2026

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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