About Faire

Faire is an online wholesale marketplace built on the belief that the future of retail is local. There are over 1M independent retailers in the U.S. and Canada doing more than twice the revenue of Walmart and Amazon combined. At Faire, we're using the power of technology and data to connect a growing community of over 150,000 brands and independent retailers around the world. Picture your favorite boutique in town — we help them discover the best products to sell in their stores. By empowering entrepreneurs with the right tools and insights, we believe that we can level the playing field so that small businesses can compete with big box and e-commerce giants. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. 

Job Description

The Data Infra & Platform team is the backbone of all data-related processes and enables the Data Science team to develop and deploy a wide variety of algorithms and models that power the marketplace. Our infrastructure is used by the whole company for analytics, reporting, forecasting and research. We care about having a reliable infrastructure with quality data and building machine learning models that help our customers thrive. 

As a Senior Analytics Engineer on the team, you will be contributing to data modeling, core data pipelines and data tooling (such as data discovery, metric management, etc.) at Faire. You will empower data scientists and analysts across the company to use data more effectively to drive business value. 

Our team already includes experienced Data Scientists and Engineers from Airbnb, Uber, Facebook, Quora, Square, Etsy, and TripAdvisor. Faire will soon be known as a top destination for data science and analytics, and you will help take us there!

What you will be doing: 

• Data modeling and developing/maintaining core ETL pipelines and tables
• Help develop strategy/solution for data discovery and metrics management
• Build upon and document our common data framework
• Advocate for improvements to data quality, security, and performance
• Design internal standards for style, maintainability, and best practices for a high-scale data infrastructure
• Coach analysts on software engineering best practices (e.g., using version control, writing performant SQL, how to communicate data issues)
• Collaborate with data engineers on infrastructure projects and advocate for and emphasize the business value of applications
• Develop and communicate strong opinions about best practices in Analytics Engineering

What it takes:

• 3+ years experience in a data analytics, data science, or data engineering role
• An “end-to-end” data analyst who believes in owning the whole stack from data cleaning to dashboard to stakeholder communication
• Proficient in writing analytical SQL and you understand the difference between SQL that works, and performant SQL
• Experience working with Python and SQL to generate business insights and drive better organizational decision making
• A solid understanding of data warehouses and business intelligence tools
• Clear and direct communication skills about complex technical topics
• Passion for building the best version of whatever you’re working on
• A track record of working autonomously, with strong organizational and time management skills
• A desire to continually keep up with advancements in data (engineering, analytics, science) team practices

Why you’ll love working at Faire

• We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is an owner of the business and taking part in the founding process.
• We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of over 100,000 small business owners.
• We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
• We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Salt Lake City, Atlanta, Toronto, London and Sao Paulo. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.