Analytics Engineer, Wayfair
E-Commerce
Friday remote
4 days a week in office
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
Friday remote
4 days a week in office
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- Bachelors or Masters in Computer Science, Computer Engineering, Mathematics, Statistics, Information Systems, or other quantitative STEM disciplines field with strong academic record
- Experience in engineering roles performing backend data warehousing. Quantitative analysis as a plus
- Strong interest in data engineering, big data technologies, and data processing
- Hands-on with DBT/Dataforms, BigQuery, Airflow, GCP and BI tools
- And Python programming skills
- Basic understanding of data management concepts and databases
- Hands-on experience conducting quantitative analyses on large data sets; experience with data modeling tools and visualization tools
- Proficient knowledge of SQL (incl. aggregate functions, joins, etc.)
- Proficiency in any Python and bash of programming languages
- Understanding of Git for version control
- Solution-oriented & curious intellectual mindset and curiosity - We provide fast results, we scope projects and we are always learning
- Strong written and verbal communication with a team player, highly collaborative attitude- We communicate effectively without sugar coating, we focus on helping the team on the most value add projects
- Prior experience or coursework related to data engineering is a plus
What the job involves
- This is a full time 6 months internship position, starting in January 2025
- 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
- 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
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionise online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Company HQ
Prudential / St. Botolph, Boston, MA
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
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