Note: The job is a remote job and is open to candidates in USA. Direct Travel is transforming its data capabilities through a global analytics platform that delivers insights and reporting to internal stakeholders and clients. The Data Analytics Engineer will design and develop analytics products, embedded applications, visualizations, reports, and self-service capabilities while collaborating with engineering, IT, and business teams to solve data-driven problems.
Responsibilities
- Data collection and processing across various raw and unimproved data marts
- Develop and implement key visualizations, reports, modeling and performance improving optimizations to our core data products
- Work 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
Skills
- Bachelor's degree in information technology, Computer Science, Data Science, or a related field or equivalent experience
- 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
- Experience with a cloud providers such as Amazon AWS, Azure or GCP and associated data platforms and products they provide
- 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
- Strong verbal and written communication skills to effectively share findings with stakeholders
- Adept at queries, report writing, and presenting findings
- Proven working experience as a data analytics engineer
- Snowflake, Looker and LookML modeling experience
Benefits
- Medical benefits
- Dental benefits
- Vision benefits
- Retirement Plans
- Wellness
- Rewards and Recognition
- Sustainability
- DE&I initiatives
- Mental Health Support
- Remote work
Company Overview
Company H1B Sponsorship