Data Analyst / Data Modeler - Digital Banking

Trissential; Minneapolis (MN); Hybrid; USD 155,000 - 165,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Paid time off

Career development

Team collaboration

Job summary

Trissential is seeking a Data Analyst / Data Modeler for a Digital Banking initiative, blending data analysis with data modeling to support reporting, analytics, and governance. You will work within a hybrid environment in Minneapolis, partnering with business and technology teams to drive data quality and scalable solutions.

The role emphasizes translating complex requirements into robust data structures, performing profiling and SQL validation, and collaborating across governance and data

Qualifications

• 10+ years of experience in data modeling, data analysis, data management.
• Strong ability to translate business requirements into data solutions.
• Advanced SQL for data analysis, validation, troubleshooting.
• Experience with data profiling, quality analysis, validation.
• Familiarity with metadata management, lineage, governance.
• Excellent communication with technical and non-technical stakeholders.
• Strong analytical and problem-solving skills.

Responsibilities

• Analyze business requirements and translate them into scalable data solutions.
• Partner with stakeholders, data engineers, architects, and governance teams to support enterprise data initiatives.
• Perform data profiling, discovery, and quality assessments across multiple data domains.
• Validate data accuracy and integrity through SQL analysis and testing.
• Assist with source-to-target mappings and data lineage documentation.
• Identify data anomalies, investigate root causes, and recommend improvements.
• Maintain metadata, business definitions, and data dictionaries.
• Collaborate with governance teams to support naming standards, data quality processes, and metadata management.
• Participate in design reviews, impact assessments, and change-management activities.

Skills

Advanced SQL

Data modeling

Data analysis

Data management

Data profiling

Data quality

Metadata management

Data governance

Stakeholder comms

Analytical thinking

Education

Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or related field

Certifications in data modeling or analytics (optional)

Tools

Snowflake

Job description

Location: Hybrid (Minneapolis, MN)

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

You Will

Your Role & Responsibilities

• Analyze business requirements and translate them into scalable data solutions
• Partner with business stakeholders, data engineers, architects, and governance teams to support enterprise data initiatives
• Perform data profiling, discovery, and quality assessments across multiple data domains
• Validate data accuracy and integrity through advanced SQL analysis and testing
• Assist with source-to-target mappings and data lineage documentation
• Identify data anomalies, investigate root causes, and recommend improvements
• Maintain metadata, business definitions, and data dictionaries
• Collaborate with governance teams to support naming standards, data quality processes, and metadata management
• Participate in design reviews, impact assessments, and change-management activities

Skills & Experience You Should Possess

• 10+ years of experience in data modeling, data analysis, data management, or related disciplines
• Strong experience analyzing complex datasets and translating business requirements into data solutions
• Advanced SQL skills for data analysis, validation, and troubleshooting
• Experience performing data profiling, data quality analysis, and data validation
• Familiarity with metadata management, lineage, and data governance practices
• Ability to communicate effectively with both technical and non-technical stakeholders
• Strong analytical, problem-solving, and critical-thinking skills

Bonus Points If You Have

• Banking, Financial Services, or Digital Banking experience
• Python experience for data analysis, profiling, or automation
• Experience working with semi-structured data such as JSON
• Exposure to data cataloging, metadata management, or governance tools
• Experience supporting enterprise cloud data modernization initiatives

Education & Certifications You Need

• Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a related field
• Data modeling, data governance, or analytics certifications are a plus, but not required

What We Offer

At Trissential, we believe great data work happens when talented people are supported, valued, and empowered. When you join our client's team through Trissential, you gain access to meaningful work, professional growth opportunities, and a comprehensive benefits package.

• Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $155,000-$165,000 annually or $92-$102 per hour, depending on your skills, experience, and location. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
• Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
• Paid Time Off - Both compensation models offer paid time away from work
• Career Development and Advancement - Expleo is a global organization operating across 29 countries with a strong focus on professional growth and development
• Strong Team Culture - Collaborate with experienced professionals who value partnership, innovation, and continuous learning

This role is only open to individuals who are authorized to work in the United States