ABOUT THRIVE MARKET
Thrive Market was founded in 2014 with a mission to make healthy living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,000,000+ members find better products, support better brands, and build a better world in the process. We recently reached a significant milestone by becoming a Certified B Corporation, making us the largest grocer to earn this coveted qualification.
THE ROLE
As Thrive Market continues to grow at an incredible rate, you'll have the opportunity to build the data infrastructure at the heart of the business. At Thrive, we've created a transparent, data-centric environment from the beginning and we'll need your help building out our existing data warehouse to provide reporting and data for our Business Departments.
Using your own knowledge of industry best practices, you will influence overall business strategy and product management efforts. You should love business analysis, analytics, data modeling, and accelerating growth. This isn’t a job to own some boring tools or to create charts that nobody uses. This is an opportunity to help revolutionize how Thrive Market leverages its data to make strategic business and product decisions to grow the business. If you are someone who loves empowering others with data analysis and thrives on helping people find and understand the information they need at the moment they need it, then this is a great role for you.
As our Data Team continues to grow, we need a leader who has the passion, experience, skills and ability to turn our data into actionable insights. As our Data Analytics Lead, you'll provide expertise into bridging business and product needs with data solutions. As Thrive continues to be a data informed company, you’ll build the team and processes that ensure the quality of the data and the solutions provided.