Data Analytics Engineer

Role Overview

Join our team as a Data Analytics Engineer to design, execute, and deliver a best-in-class global analytics platform. You 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.

What You Will Do

Develop and implement key visualizations, reports, and modeling to improve our core data products. Work closely with IT and business units to understand data requirements and provide actionable insights and solutions to data problems.

Why It Might Be a Fit

You will be crucial to the success of our team, providing data insights and global reporting for both internal stakeholders and thousands of clients globally. You will have hands-on experience crafting embedded analytics applications and possess a background in software engineering.

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
• Cloud proficiency: 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

Benefits

• Medical, Dental, and Vision benefits
• Retirement Plans
• Wellness
• Rewards and Recognition
• Sustainability
• DE&I initiatives
• Mental Health Support

Tagged as: Data Analysis