Grasshopper Bank is a client-first, digital bank built for the business and innovation economy, with an obsession for providing leading-edge technology, solutions-driven products and superior service through a combination of passionate people and digital resources. We are a highly experienced team who pride ourselves on diversity of thought and perspective. Nationally chartered, our portfolio of products and services range from VC, PE & Portfolio Companies to SBA Lending, as well as direct SMB and Embedded Banking. Our entrepreneurial drive allows us to support the growth and success of a wide range of clients at every stage of their business through inclusive partnership. We seek out team members who will enable both our organization and our people to grow and thrive through collaboration and acting with integrity and respect. Our focus on cross-functional teamwork provides a culture where ideas are valued, accountability is encouraged, and successes are celebrated. We welcome all those searching for the opportunity to contribute to banking innovation that influences and supports the emerging digital world of Financial Services. Our digital first approach enables our teams the flexibility to work remotely. We have offices in NYC and Boston. Reporting to our Director of BI & Analytics, you will join our data team as a key internal consultant and technical expert. Whether you are a seasoned architect or a rising talent in the analytics space, your primary mission is the same: to move beyond simple reporting and transform complex data into compelling data stories. This is a high-impact role where technical rigor meets design strategy. You will serve as the bridge between our data infrastructure and our stakeholders, owning the end-to-end data lifecycle. This includes architecting scalable data models and ELT pipelines, as well as partnering directly with business lines to build polished, intuitive Tableau dashboards. If you are a versatile professional who enjoys both writing complex Python/SQL transformation logic and crafting data stories that answer the "so what?" for leadership, we encourage you to apply.