Data Analytics Engineer

Direct Travel

7h • Remote

About The Position

Direct travel is on a journey of data transformation, and we are seeking a
skilled and motivated Data Analytics Engineer to join our team to be a pivotal
part of our history.

The ideal candidate will be crucial to the design, execution and delivery of a
best-in-class global analytics platform, providing data insights and global
reporting for both internal stakeholders and thousands of clients globally.

A successful candidate will have hands on experience crafting embedded analytics
applications, possess a background in software engineering and understand the
latest methods and techniques in provisioning key visualizations and
self-service capabilities within our data products.

In the role of an Analytics Engineer, a qualified candidate 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.

Requirements

• Educational Background: Bachelor’s degree in information technology, Computer Science, Data Science, or a related field or equivalent experience.
• Technical Proficiency: Advanced knowledge of and experience with databases of all varieties including RDBMS SQL based platforms as well as document stores.
• Demonstrable experience with a programming language typically used in the field of data and analytics engineering e.g. Python, R or Scala.
• Experience and understanding of web application development, front-end reactive applications such as VueJS or React as well as familiarity with middle and back-end software development methodologies.
• Understanding of the software development lifecycle and SCM through Git or an alternative.
• Cloud proficiency: Experience with a cloud providers such as Amazon AWS, Azure or GCP and associated data platforms and products they provide.
• Analytics: 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 and understanding to cloud-based warehouse platforms such as Snowflake, DataBricks or Azure DataLake.
• Prior experience implementing governance and compliance related frameworks to analytics data products.
• Inquisitive diagnostic skills related to query and system tuning and performance.
• Experience building bespoke data products from the ground up that utilize analytics and business intelligence platforms in an integration manner for visuals and core functionality.
• Communication Skills: Strong verbal and written communication skills to effectively share findings with stakeholders.
• Attention to Detail: Adept at queries, report writing, and presenting findings.

Nice To Haves

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

Responsibilities

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

Benefits

• In addition to Medical, Dental, and Vision benefits Direct Travel/ATPI offers a Total Rewards Package which includes Retirement Plans, Wellness, Rewards and Recognition, Sustainability, DE&I initiatives, and Mental Health Support.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level