Who We Are
Imprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.
The Team
The Data Analytics team at Imprint is dedicated to building a robust data foundation that drives smarter decision-making across the organization. The team is responsible for developing and maintaining Imprint’s data infrastructure, which includes not only the data warehouse and data pipelines but also comprehensive analytics systems that support both daily operations and strategic initiatives. We enable accessible, high-quality data to fuel insights into customer behavior, prioritize initiatives for maximum impact, and scientifically test new features and processes. Leveraging these actionable insights, the team plays a crucial role in guiding Imprint's growth and profitability, empowering cross-functional teams to make well-informed, data-driven decisions.
Your Day-to-Day
Serve as key contributor to executive level and external partner reporting solutions by not only identifying and defining key metrics but also visualizing and distributing via the most effective platform
Work closely with engineering, risk, growth, and product to understand and define business logic in order to build data sets and/or dashboards to track key business metrics
Work with Data Engineers to translate business requirements into data models that are easy to understand and used across the company, as well as serve as sounding board for potential data issues
Create documentation for both internal and external partners to bridge the gap between technical requirements and business definitions
Maintain and update existing dashboards and scripts as well as create new ones to support various processes
Analyze and visualize large scale data to present the findings and opportunities, and output solid analysis reports with recommendations
We Are Looking For Folks With
Bachelor’s degree in Computer Science, Engineering, Mathematics, Analytics or related field
Advanced knowledge and extensive experience in SQL including performance tuning (Snowflake is preferred)
2+ years of experience working with BI tools (e.g. Power BI, Tableau, Sigma, Looker, etc.)
2+ years of experience in utilizing data for analytical projects and to drive data insights
Excellent written and verbal communication and interpersonal skills, and ability to effectively collaborate with technical and business teams
Bonus Points
Master’s degree in Computer Science, Engineering, Mathematics, Analytics or related field
Experience with Python and Pyspark programming
Experience with GitHub
Experience in banking, financial services, or a fintech
Perks & Benefits
Competitive compensation and equity packages
Leading configured work computers of your choice
Flexible paid time off
Fully covered, high-quality healthcare including fully covered dependent coverage
Additional health coverage includes access to One Medical and option to enroll in an FSA/HSA
16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
An understanding that successful remote work requires flexibility and an appreciation for asynchronous work
Access to industry-leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity
Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.
