Data Analyst Associate (m/f)

angelegt am: 25.10.2019
Art: Absolventenstelle
Arbeitsort: Berlin
Antrittsdatum: zum nächstmöglichen Zeitpunkt
Bewerbungsschluss: 31.12.2019
Stellenanzahl: 1


Wayfair is growing and committed to hiring analytical, entrepreneurial, and results-oriented graduates to become the next generation of leaders across the business. These individuals will demonstrate their leadership skills, quantitative mindset, and will execute strategic and cross-functional projects for their respective teams. 

Who We Are: 

The Data Analyst Associate position is part of our Merchandising department and more specifically our Merchandising Analytics team. The Merchandising team is responsible for the creation and maintenance of our product catalogs. We add tens of thousands of new products each month, both for limited-time events and for ongoing product selection. We also continually improve the catalog – fixing issues and increasing the content to improve customer experience in a joint effort with our suppliers. Our goal is to provide inspirational and engaging content to drive customer engagement and increase conversion. We also understand where the customer is shopping on site – where they are most / least engaged through the funnel, and we create customized landing pages based on an analytical approach, supported by new merchandising tools. 

What You\'ll Do: 

  • Collaborate with leaders of functional areas to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth. 
  • Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations. 
  • Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs. 
  • Develop strategy for priority initiatives and lead implementation to drive results 
  • Become the subject matter expert for data, analytics, and testing within a business unit to ensure accurate and proper interpretation of core business metrics and consumer behavior. 
  • Building out requirements with both business and engineering teams 
  • Develop strategy for priority initiatives and lead implementation to drive results 
  • Utilize web analytic tools to analyze and optimize performance 

 Apply now here:

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.


What You\\\'ll Need: 

  • Experience with Excel; coursework or experience with SQL or other structured programming language(s) (e.g. Python, Java, C); and Tableau is a plus. 
  • Analytical, creative, and innovative approach to solving problems as well as a desire to make processes better. 
  • Hands-on experience conducting quantitative analyses on large data sets 
  • Strong written and verbal communication. 
  • Bachelors or Masters in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline field with strong academic record. 
  • An entrepreneurial spirit and mindset 
  • Enthusiastic, with proven ability to rapidly get up to speed with job knowledge
Studiengänge: Betriebswirtschaftslehre, Informatik, Wirtschaftsingenieurwesen, eBusiness, Informations- und Medientechnik, Mathematik, Physik, Wirtschaftsmathematik, Wirtschaftsrecht für Technologieunternehmen
geforderte Deutschkenntnisse: A1: Anfänger
geforderte sonstige Sprachkenntnisse: englisch: sehr gute Kenntnisse
Firma: Wayfair
Straße / Haus-Nr.: Köpenicker Str. 180
PLZ / Ort: 10997 Berlin
Telefon-Nr.: +49 30 632 2265 567
Firmenprofil / Fachgebietsprofil: Wayfair is the leading E-Commerce company for furniture and home accessories. With our diverse range of over 10 million products, our customers can design the home they always imagined. At Wayfair, our customers can find the right product for the right price. The foundation blocks of our success were laid in 2002 by the founder Steve Conine and Niraj Shah. Wayfair generated $4.7 billion in net revenue for the full year 2017. Headquartered in Boston, Massachusetts with operations throughout North America and Europe, the company employs more than 7,700 people.