Data Analyst / Data Modeler - Digital Banking

Expleo•Minneapolis, MN

4d•$155,000 - $165,000•Hybrid

About The Position

This role is for a Data Analyst / Data Modeler within Digital Banking, partnering with a forward-thinking enterprise client. The position focuses on supporting data initiatives in a modern Snowflake-based ecosystem. While data modeling is a component, the primary focus is on partnering with business and technology teams to analyze data, support data quality, document requirements, and ensure data structures support reporting, analytics, and business outcomes. The role emphasizes collaboration with business stakeholders, data engineers, architects, and governance teams. Candidates local to Minneapolis are prioritized, but exceptional remote candidates will be considered.

Requirements

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
Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a related field
Authorized to work in the United States

Nice To Haves

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
Data modeling, data governance, or analytics certifications

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