Data Analytics Engineer

About the role

Direct Travel is seeking a skilled and motivated Data Analytics Engineer to join our team and play a pivotal role in designing, executing, and delivering a best-in-class global analytics platform. This role provides data insights and global reporting for both internal stakeholders and thousands of clients worldwide. The ideal candidate will have hands-on experience crafting embedded analytics applications, a background in software engineering, and expertise in the latest methods for provisioning key visualizations and self-service capabilities within our data products.

A successful Analytics Engineer will work across engineering and data-related assignments, contributing to the development of analytics products and using a data-driven mindset to solve business problems across the organization.

Responsibilities

• Data collection and processing across various raw and unimproved data marts.
• Develop and implement key visualizations, reports, modeling, and performance-improving optimizations for our core data products.
• Collaborate closely with IT and business units to understand data requirements and provide actionable insights and solutions to data problems.
• Identify, analyze, and interpret trends or patterns in complex IT data sets to drive process improvements and policy development.
• Provide key and differentiating industry insights for our customers through clear and concise analytical representations of core travel data.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field, or equivalent experience.
• Advanced knowledge of and experience with databases, including RDBMS SQL-based platforms and document stores.
• Demonstrable experience with programming languages used in data and analytics engineering, such as Python, R, or Scala.
• Experience with web application development, including front-end reactive applications (e.g., VueJS or React) and familiarity with middle and back-end software development methodologies.
• Understanding of the software development lifecycle and source control management (e.g., Git).
• Experience with cloud providers such as Amazon AWS, Azure, or GCP and their associated data platforms and products.
• Full understanding of the data lifecycle, from pipeline development to warehouse architecture to reporting and analytics enablement.
• Senior-level experience with more than one cloud-based analytics platform, such as Looker, Tableau, or PowerBI.
• Experience developing semantic models across wide-reaching data in sustainable and performant ways.
• Exposure to cloud-based warehouse platforms such as Snowflake, DataBricks, or Azure Data Lake.
• Prior experience implementing governance and compliance-related frameworks for analytics data products.
• Inquisitive diagnostic skills related to query and system tuning and performance.
• Experience building bespoke data products from the ground up that integrate analytics and business intelligence platforms for visuals and core functionality.
• Strong verbal and written communication skills to effectively share findings with stakeholders.
• Adept at queries, report writing, and presenting findings.

Preferred Qualifications

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

Benefits

• Medical, Dental, and Vision benefits.
• Retirement Plans.
• Wellness, Rewards, and Recognition programs.
• Sustainability, Diversity, Equity & Inclusion (DE&I) initiatives.
• Mental Health Support.