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, providing data insights and global reporting for internal stakeholders and thousands of clients globally.

What You Will Do

Collect and process data, develop and implement key visualizations, reports, and modeling to optimize data products, and provide actionable insights and solutions to data problems.

Why It Might Be a Fit

As a Data Analytics Engineer, 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.

Requirements

• Bachelor's degree in information technology, Computer Science, Data Science, or a related field or equivalent experience
• Advanced knowledge of databases, including RDBMS SQL based platforms and document stores
• Experience with programming languages such as Python, R, or Scala
• Understanding of web application development, front-end reactive applications, and middle and back-end software development methodologies
• Cloud proficiency with Amazon AWS, Azure, or GCP and associated data platforms and products
• Full understanding of the data lifecycle, from pipeline development to warehouse architecture to reporting and analytics enablement
• Senior level experience with cloud-based analytics platforms such as Looker, Tableau, or PowerBI
• Experience developing semantic models across wide-reaching data in sustainable and performant ways
• 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

Benefits

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

Originally posted on Himalayas