I AM HIRED

Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Data Analytics Engineer — United States

Аналитика, BI / DWH / ETL · сегодня, 15:17 · 14.11.2026

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Компания: ••••••••

Локация: United States

Формат: не указан

Занятость: Полная занятость

Грейд: Middle

Your Expedition (Position Overview)

XhCvK6 XWc9FW 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.

Going The Extra Mile (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.

Your Passport To Success (Qualifications)

• 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.

Preferred Qualifications

• Experience: Proven working experience as a data analytics engineer.

• Platforms: Snowflake, Looker and LookML modeling experience.

Your Benefits Onboard

In addition to Medical, Dental, and Vision benefits qXwwZZ wvT8Xt/ATPI offers a Total Rewards Package which includes Retirement Plans, Wellness, Rewards and Recognition, Sustainability, DE&I initiatives, and Mental Health Support.

Embark on the next step in your career journey with qXwwZZ wvT8Xt!

qXwwZZ wvT8Xt/ATPI is one of the fastest growing Beq6Y5 A7recfahzF Companies (TMC) in the world. By leveraging both the expertise of its people and innovative technology solutions, qXwwZZ wvT8Xt/ATPI enables clients to derive the greatest value from their travel program in terms of superior service, progressive technologies, and significant cost savings. qXwwZZ wvT8Xt/ATPI has offices globally and is currently ranked among the top providers on eTqgsE RvJwgZ’s Power List. For more information, visit ••••••••

qXwwZZ wvT8Xt/ATPI is an EOE/AA/Veteran/People with Disabilities employer

If you're ready to chart a new course and advance your career with the valuable moments and travel experiences that await, we welcome you to submit your resume for consideration at qXwwZZ wvT8Xt/ATPI.

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