Data Analytics Engineer

Direct Travel is on a journey of data transformation, seeking a skilled Data Analytics Engineer to be a pivotal part of their history. The role involves designing and delivering a global analytics platform to provide insights and reporting for internal stakeholders and clients, while collaborating across engineering and data-related assignments to drive process improvements and solutions.

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

Requirements:

• 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