Data Analytics Engineer

Role OverviewJoin 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 DoCollect 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 FitAs 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.RequirementsBachelor's degree in information technology, Computer Science, Data Science, or a related field or equivalent experienceAdvanced knowledge of databases, including RDBMS SQL based platforms and document storesExperience with programming languages such as Python, R, or ScalaUnderstanding of web application development, front-end reactive applications, and middle and back-end software development methodologiesCloud proficiency with Amazon AWS, Azure, or GCP and associated data platforms and productsFull understanding of the data lifecycle, from pipeline development to warehouse architecture to reporting and analytics enablementSenior level experience with cloud-based analytics platforms such as Looker, Tableau, or PowerBIExperience developing semantic models across wide-reaching data in sustainable and performant waysInquisitive diagnostic skills related to query and system tuning and performanceExperience building bespoke data products from the ground up that utilize analytics and business intelligence platformsBenefitsMedical, Dental, and Vision benefitsRetirement PlansWellnessRewards and RecognitionSustainabilityDE&I initiativesMental Health SupportOriginally posted on Himalayas