DescriptionLeader Bank is looking for exceptionally dedicated team members to join one of the region’s fastest growing community banks and mortgage lenders. At the time of its founding in 2002, Leader Bank had one branch office, $6.5 million in assets and 7 team members. Since then, the Bank has become one of the most successful banks in Massachusetts with $4.5 billion in assets, more than 400 team members, 7 branch offices, and annual mortgage originations of over $2 billion.
Exemplary products and an innovative spirit have driven Leader Bank’s rapid growth over the years, and our team members embrace these values. Our mission is to obsess over our clients, make them feel valued, and maintain long-term relationships with them by constantly enhancing our products and processes to always improve our client experience. For our team members, Leader Bank prioritizes competitive compensation and benefits, a healthy work-life balance, and an environment that fosters diversity and inclusion.
Summary
At Leader Bank, we recognize that data is an opportunity to create better experiences, smarter decisions, and value for our clients. As a BI engineer, you enable stakeholders to make data-driven decisions and turn insights into action through automation.
BI Engineer is responsible for designing, developing, and maintaining the Bank's enterprise reporting and analytics platform. This role bridges business reporting and data engineering by creating trusted data models, semantic layers, dashboards, and analytics solutions that empower data-driven decision-making across the organization.
The successful candidate will have deep experience with Snowflake, Retool/Power BI, Python, JavaScript, SQL, and modern data technologies. This individual will partner with business stakeholders, product teams, and technology teams to transform raw data into trusted, actionable insights while establishing scalable reporting and governance practices.
Responsibilities
- Data Modeling & Analytics
- Design, develop, and maintain enterprise data models, semantic layers, and analytics-ready datasets in Snowflake.
- Build and maintain data dictionaries, KPI definitions, and business metrics to ensure consistency across reporting platforms.
- Develop scalable reporting architectures that support operational, analytical, and executive reporting needs.
- Optimize data structures, queries, and warehouse performance for BI workloads.
- Reporting & Visualization
- Create and maintain dashboards, workflows and self-service reporting solutions using Retool, and other BI tools.
- Partner with business stakeholders to understand requirements and translate business questions into