Analytics Engineer Internship for E-Commerce (m/f/x)

at  Wayfair

Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of millions of items across home furnishings, décor, home improvement, housewares and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes - from product discovery to final delivery.
At their core, Analytics Engineers at Wayfair are strong in quantitative analysis and coding but while building fast and scalable solutions for the organization. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new passionate team members fresh out of school or with previous professional experience.
You will join the Global Analytics Tech team focused on driving the design, creation and operation of the business infrastructure and key performance indicators that support our operations teams and our business strategy primarily driven by the synergies of the tech and business world.
Whether you’re building data warehouses, scalable data structures, analyzing performance of procedures, troubleshooting errors or building proactive monitoring systems you will be working with cutting edge technology and multi-terabyte datasets.

ASSISTANCE FOR INDIVIDUALS WITH DISABILITIES

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

WHAT YOU’LL DO

• Assist in the design, development, and maintenance of data warehouses, pipelines and ETL (Extract, Transform, Load) processes
• Collaborate with data engineers and analysts to understand data requirements and ensure data availability for analysis
• Work with various data storage and processing technologies, including [Google SQL]
• Help clean, preprocess, and transform data from diverse sources to make it suitable for analysis
• Support the creation and optimization of databases and data warehouses
• Assist in troubleshooting and resolving data-related issues and bottlenecks
• Learn and apply best practices in data engineering, data modeling, and data governance
• Document data engineering processes and workflows for future reference
• Collaborate with cross-functional teams to support data-driven initiatives and projects