Data Analytics Engineer

Role Overview

Direct Travel is seeking a Data Analytics Engineer to help design, execute, and deliver a global analytics platform. You’ll build analytics products that provide actionable insights and reporting for internal stakeholders and global clients, including embedded analytics and self-service visualizations.

Responsibilities

• Data management: Collect and process data across raw, unimproved data sources and data marts.
• Reporting & visualization: Develop and implement visualizations, reports, modeling, and performance optimizations for core data products.
• Collaboration: Partner with IT and business units to understand data requirements and deliver actionable solutions.
• Process improvement: Identify trends/patterns in complex IT data to drive improvements and policy development.
• Analytics & insights: Provide clear, concise industry insights derived from core travel data.

Qualifications

• Education: Bachelor’s degree in IT, Computer Science, Data Science, or related field (or equivalent experience).
• Technical proficiency: Advanced database knowledge (SQL/RDBMS and document stores).
• Programming: Experience with Python, R, or Scala for analytics engineering work.
• Web app & frontend: Understanding of web application development and reactive front-end applications (e.g., Vue.js or React).
• Software lifecycle & SCM: Understanding of SDLC and source control (e.g., Git).
• Cloud: Experience with AWS, Azure, or GCP and associated data platforms.
• Analytics/data lifecycle: End-to-end understanding from pipeline development to warehouse architecture to reporting/enablement.
• BI/analytics platforms: Senior experience with more than one of Looker, Tableau, or Power BI.
• Semantic modeling: Experience building sustainable, high-performing semantic models.
• Warehouse platforms: Exposure to Snowflake, Databricks, or Azure Data Lake.
• Governance/compliance: Experience implementing governance and compliance frameworks for analytics data products.
• Performance tuning: Diagnostic skills for query and system tuning.
• Embedded data products: Experience building data products from the ground up integrating BI/analytics platforms for visuals and core functionality.
• Communication: Strong written and verbal communication skills.

Preferred Qualifications

• Proven experience as a data analytics engineer.
• Snowflake, Looker, and LookML modeling experience.