[Hiring] Data Analyst @ConsultNet

Role Description

The Data Analyst will support data integration and enablement initiatives within a banking environment, combining data analysis and business analysis responsibilities. This role will focus on improving customer understanding and segmentation by documenting customer data, tracing how information moves across systems, and identifying gaps that could improve customer needs analysis and sales efforts.

• Work with business and technology teams to gather requirements.
• Profile source systems and understand data models.
• Document data flows across servicing applications.
• Initial focus on deposit and loan systems, including customer information movement from onboarding and origination through servicing and into the data warehouse.
• Document metadata, transformation rules, field mappings, and data lineage.
• Develop test cases and validate data quality.

Qualifications

• 2+ years of experience in data analysis, data integration, or a related field.
• Strong SQL skills for data profiling, analysis, transformation, testing, and validation.
• Experience working with data warehouses.
• Experience documenting data lineage, field mappings, metadata, or data flows.
• Experience profiling source systems and understanding data models.
• Experience gathering and translating business requirements.
• Experience developing and executing data validation or testing processes.
• Experience working with multiple source systems and tracing data across applications.
• Strong analytical and problem-solving skills.
• Strong communication and documentation skills.
• Bachelor's degree in data, analytics, business, or a related field, or equivalent combination of education and experience.
• Ability to work remotely while maintaining availability from 9:00 AM to 4:00 PM Mountain Time.

Requirements

• Banking experience is strongly preferred, particularly with customer onboarding, financial data, servicing systems, or loan and deposit products.

Benefits

• Curious, assertive, detail-oriented, and comfortable asking questions.
• Ability to identify data gaps, inconsistencies, and relationships across systems.
• Ability to collaborate effectively with business and technology stakeholders.