BANYAN is a global interchange for SKU-level receipt data, with a mission to make it easy for consumers to connect their receipts to the apps and services they choose, unlocking value for merchants and enabling financial institutions and fintech apps to create incredible, personalized experiences for their customers.
We’re a growing team of more than 25 employees distributed across the US, with offices in New York and Chicago. Our investors include FinVC, TTV Capital, Motivate Ventures, and Manifold Group, and we have ambitions to become a major player in the future of fintech.
Our growing Analytics team is looking for our first Data Analyst to join our ranks, who can take on an important role in building and improving BANYAN products that directly lead to company growth.
You’ll report to the Director of Product Operations & Analytics, and work closely with a variety of stakeholders across the organization on projects that will drive our growing business.
We are searching for someone who is not only passionate about our mission, but is hungry for growth and loves diving into data to surface and share key insights with the broader team. The ideal candidate is excited to adapt to the evolving priorities of a growing startup – which may mean analyzing and presenting on product performance for executives one day, while iterating on SQL transformations for our production data product the next.
What you’ll do
What you bring
Bonus points for
We recognize that many great applicants will come with differing levels of experience and backgrounds (or may not have worked with the specific tools in our stack), so if you are interested in the role and passionate about our company vision and mission, but feel discouraged because you don’t match all the items, please apply anyway – there’s a good chance you also have important skills we haven’t stated.
BANYAN is an equal opportunity employer and committed to providing employees with a work environment free of discrimination and harassment. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.