BI Engineer

Bridgewater Bank•Saint Louis Park, MN

19h•$94,500 - $120,000•Onsite

About The Position

We are looking for a BI Engineer to join our Data Services team at Bridgewater Bank in St. Louis Park, Minnesota. In this role, this individual will design, develop, and support scalable semantic models, dashboards, and KPI-driven reporting solutions that deliver trusted insights, enable self-service analytics, and align with governed business definitions in a regulated banking environment.

Requirements

Bachelor’s degree in information systems, computer science, data analytics, business intelligence, or a related field, or equivalent professional experience.
3+ years of experience in designing and supporting Power BI semantic models, dashboards, and reports in a production environment.
Strong proficiency in data modeling and report design principles with an emphasis on usability, accuracy, and performance.
Ability to gather requirements, translate business needs into technical solutions, and communicate effectively with both technical and non-technical stakeholders.
Experience validating data quality and reconciling metrics across source systems, curated data sets, and reporting outputs.

Nice To Haves

Experience working with Snowflake or other modern cloud data platforms.
Familiarity with banking, financial services, or other regulated industry reporting and control requirements.
Experience with SQL, dimensional modeling, and star schema design for analytics use cases.
Knowledge of BI governance, deployment practices, and secure access patterns for enterprise reporting solutions.

Responsibilities

Design, build, and maintain Power BI semantic models, dashboards, and reports that support business decision-making and operational reporting.
Translate business requirements into scalable analytics solutions, including metrics, KPIs, drill paths, filters, and user-friendly visualizations.
Develop and maintain analytical logic and DAX calculations that align to approved business definitions and reporting standards.
Partner with Data Architect and Data Engineer to consume curated, BI-ready data models and validate data grain, keys, and source-to-report alignment.
Perform data validation, reconciliation, and testing to ensure accuracy, consistency, and reliability across dashboards and published metrics.
Optimize report and model performance through effective design patterns, efficient calculations, and ongoing tuning of data consumption approaches.
Support dataset security, report access, and role-based consumption patterns in coordination with governance and control requirements.
Document reports, metrics, assumptions, and usage guidance to improve transparency, supportability, and self-service adoption.
Participate in change management, release processes, and ongoing enhancement of enterprise reporting standards and BI best practices.