Data Analytics Engineer

Remote, United StatesRemoteFull TimePosted 9 days agoVisa sponsorship availableHidden Gem · Himalayas

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Role summary

Join our team as a Data Analytics Engineer to design, execute, and deliver a best-in-class global analytics platform. You will collect and process data, develop key visualizations, reports, and models to optimize data products, and provide actionable insights. This role involves working across engineering and data assignments, using a data-driven mindset to solve business problems. Requirements include advanced knowledge of databases (SQL, RDBMS), programming languages (Python, R, Scala), cloud platforms (AWS, Azure, GCP), data lifecycle, cloud-based analytics platforms (Looker, Tableau, PowerBI), semantic modeling, and query tuning.

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

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