Data Analyst, Data Modeler – Digital Banking

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Evaluate business needs and convert them into scalable data solutions.

• Collaborate with business stakeholders, data engineers, architects, and governance teams to advance enterprise data projects.

• Conduct data profiling, discovery, and quality assessments across various data domains.

• Ensure data accuracy and integrity through sophisticated SQL analysis and testing.

• Assist with source-to-target mappings and the documentation of data lineage.

• Detect data anomalies, investigate their root causes, and suggest improvements.

• Manage metadata, business definitions, and data dictionaries.

• Work alongside governance teams to uphold naming standards, data quality processes, and metadata management.

• Engage in design reviews, impact assessments, and change management activities.

⛳️ Requirements

• Over 10 years of experience in data modeling, analysis, management, or related fields.

• Proven expertise in analyzing complex datasets and converting business requirements into data solutions.

• Advanced SQL capabilities for data analysis, validation, and troubleshooting.

• Experience in data profiling, quality analysis, and validation.

• Understanding of metadata management, lineage, and data governance practices.

• Effective communication skills with both technical and non-technical stakeholders.

• Strong analytical, problem-solving, and critical-thinking abilities.

• Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a similar discipline.

• Proficiency in English is essential.

• Must possess authorization to work in the United States.

• Experience in Banking, Financial Services, or Digital Banking is an advantage.

• Python expertise for data analysis, profiling, or automation is a plus.

• Familiarity with semi-structured data formats like JSON is beneficial.

• Exposure to data cataloging, metadata management, or governance tools is advantageous.

• Experience in supporting enterprise cloud data modernization initiatives is a bonus.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Free telehealth services.

• Health Savings Account (HSA) with company contributions.

• Life and disability insurance.

• 401(k) plan with matching contributions.

• Paid time off.

• Opportunities for professional growth and development.

• Career advancement and development programs.

• Company-sponsored benefits.

• Collaborative team culture.

• Flexible compensation model: choose between an annual salary or hourly rate.