Data Analytics Engineer
Quick Summary
Data collection and processing across various raw and unimproved data marts. Reporting & Visualization: Develop and implement key visualizations, reports,
Identify, analyze, and interpret trends or patterns in complex IT data sets to drive process improvements and policy development.
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.
Responsibilities
~1 min read- →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.
Requirements
~2 min read- 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.
- Experience: Proven working experience as a data analytics engineer.
- Platforms: Snowflake, Looker and LookML modeling experience.
What We Offer
~1 min read
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.
Direct Travel/ATPI is one of the fastest growing Travel Management Companies (TMC) in the world. By leveraging both the expertise of its people and innovative technology solutions, Direct Travel/ATPI enables clients to derive the greatest value from their travel program in terms of superior service, progressive technologies, and significant cost savings. Direct Travel/ATPI has offices globally and is currently ranked among the top providers on Travel Weekly’s Power List. For more information, visit https://www.dt.com/about-us/careers/
Direct Travel/ATPI is an EOE/AA/Veteran/People with Disabilities employer
#LI-Remote
- Minimum 5 years of experience in business intelligence and\or data warehousing
- Minimum 10 years of IT\Technical experience
- Communication skills
- Ability to work with executives
- Ability to explain complex situations in a way anyone can understand
- Technical skills
- Detailed understanding of DW concepts
- Dimensional data modeling
- Logical data mart (DM) design
- Advanced SSAS tabular design and implementation
- SSAS performance tuning
- Advanced Power BI model design and implementation
- Advanced Power BI visualization skills
- Advanced Power Query
- Basic M language
- Advanced DAX
- Advanced SQL query skills
- T-SQL Development including stored procedures, udfs, views, and tables.
- Basic SQL performance tuning
- Basic SQL trouble shooting
- SSIS\Cloud Data Factory for moving data from data warehouse into data marts or BI semantic models as required
- Additional skills
- Requirement analysis
- Requirement documentation
- Report design
- Lead skills
- Leadership
- Basic project management skills including resource & task scheduling.
- Mentorship\Training
- Must be able to lawfully work within the US\Canada and have unrestricted work authorization for US\Canada. Degree in business, computer science, or engineering or a related discipline
- Minimum 1 year of experience in lead\management role
- Technical skills
- Advanced SSAS cube design and implementation
- MDX
- Basic functional understanding of travel, and finance\accounting
- This is not necessarily an exhaustive list of responsibilities, skills, duties, requirements, or efforts associated with the position.
Location & Eligibility
Listing Details
- First seen
- September 25, 2026
- Last seen
- September 25, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 61%
- Scored at
- September 26, 2026
Signal breakdown
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