Data Analyst

Job Title: Data Analyst with experience in Hogan Systems

Location: [USA REMOTE]

Job Type: [Contract]

About the Role:

We are seeking a highly skilled Data Analyst with experience in Hogan Systems to support data-driven initiatives and analytics in our core banking and financial systems. The ideal candidate will bring a strong understanding of data management and analytics principles, combined with hands-on experience working with Hogan, particularly in areas such as CIS (Customer Information System), ALS (Automated Lending System), or other Hogan modules.

Key Responsibilities:

• Extract, analyze, and interpret large datasets from Hogan systems to support business decision-making.
• Collaborate with cross-functional teams (business analysts, developers, product owners) to identify data needs and deliver actionable insights.
• Develop, maintain, and optimize SQL queries and scripts to pull data from Hogan and related data warehouses.
• Create reports and dashboards that clearly communicate trends, patterns, and predictions using relevant data.
• Provide support in data mapping, data quality, and reconciliation efforts related to Hogan data.
• Assist in data migration and integration projects involving Hogan and other enterprise systems.
• Perform root cause analysis for data inconsistencies and implement solutions to ensure data accuracy.
• Work closely with compliance and audit teams to ensure data handling meets regulatory standards.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
• 3+ years of experience as a Data Analyst or similar role, with a focus on banking or financial services.
• Strong hands-on experience with Hogan systems (CIS, ALS, ILP, etc.).
• Proficiency in SQL and working with relational databases (e.g., DB2, Teradata, Oracle).
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Experience with ETL tools and processes.
• Understanding of core banking processes and financial data structures