Data Analyst / Data Modeler - Digital Banking

Role Overview

Trissential is partnering with a forward-thinking enterprise client to bring on a Data Analyst / Data Modeler - Digital Banking. 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.

What's in It for You?

• High-Impact Data Work
• Business Partnership
• Modern Technology Stack
• Strategic Visibility
• Balanced Responsibilities
• Career Growth
• Collaborative Culture

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
• Aid in 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

• 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
• 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

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

Education & Certifications

• Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a related field
• Data modeling, data governance, or analytics certifications (optional)

What We Offer

• Competitive Compensation
• Comprehensive Benefits
• Paid Time Off
• Career Development and Advancement
• Strong Team Culture