Location: Minneapolis, MN Preferred (Remote Considered for Exceptional Candidates)
Employment Type: Full-Time
Shape Modern Data Foundations Through Analysis & Modeling
Are you a seasoned Data Modeler who excels at understanding complex business processes, analyzing data, and translating requirements into scalable data solutions? Trissential is partnering with a forward-thinking enterprise client to bring on a Data Analyst / Data Modeler - Digital Banking who will play a key role in supporting data initiatives within a modern Snowflake-based ecosystem.
While data modeling remains an important component of this role, the primary focus will be partnering with business and technology teams to analyze data, support data quality initiatives, document requirements, and ensure data structures effectively support reporting, analytics, and business outcomes.
For the immediate hiring need, we are prioritizing candidates local to the Minneapolis area. However, exceptional remote candidates will also be considered.
What's in It for You?
• High-Impact Data Work – Support critical digital banking and enterprise data initiatives that influence strategic business decisions
• Business Partnership – Work closely with stakeholders to understand business processes and translate requirements into actionable data solutions
• Modern Technology Stack – Leverage Snowflake and cloud-based data platforms in a mature, enterprise-scale environment
• Strategic Visibility – Contribute to data decisions that influence reporting, analytics, governance, and operational effectiveness
• Balanced Responsibilities – Combine analytical problem-solving with data modeling and governance activities
• Career Growth – Expand your expertise across Snowflake, enterprise analytics, data governance, and cloud-based data platforms
• Collaborative Culture – Join a team focused on data quality, continuous improvement, and delivering business value
Your Role & Responsibilities
You will:
• Analyze business requirements and translate them into scalable data solutions
• Partner with business stakeholders, data engineers, architects, and governance teams