DESCRIPTION

Finance Data Group within Huntington Finance & Controllership partners with multiple stakeholders for ex: Regulatory Reporting, FP&A and Balance Sheet Management groups supporting key functions such as monthly/quarterly external report filings and internal management reporting and analytics.

The Finance Data Analyst Sr role utilizes technical and analytical skills to analyze large data sets, automate processes and collaborate with operational teams to enable analytics and reporting. This position is responsible for evaluating financial, risk and other segment data integrity across multiple systems and platforms. The Senior Financial Analyst will examine data and variances, build out and enhance data management processes, develop KPI metrics and provide analysis that is actionable for optimizing revenue, margin, operating expense, and other key financial and operational metrics for both management and general ledger-based reporting and analytics. The analyst will collaborate to or directly manage one or more analytical applications within the Finance portfolio. Colleagues in this role should have knowledge of finance business processes and the interaction between systems and processes, including strong Excel skills, database query skills, SOX compliance in a publicly traded company, the Record to Report (R2R) cycle, and the management reporting cycle.

• Partner with OFSAA ecosystem stakeholders (Reg Reporting, FTP, Profitability, Cash Flow Engine) to ensure seamless delivery to end consumers.
• Partner with technology teams in the development, implementation, testing, documentation and use of data/calculations for OFSAA Reg Reporting, FTP, Profitability, Cash Flow Engine processes
• Create business, functional requirements and data mapping documents.
• Configure OFSAA FSDF and AAI modules to meet project requirements.
• Contribute and support other group projects and initiatives.
• Analyze large data sets, automate processes within Finance application space
• Analyze new and existing data, build/enhance data management processes

Basic Qualifications

• Minimum bachelor’s degree in finance or information technology
• 3 + years of previous experience working in the Financial Services Industry
• 3+ years working experience in OFSAA Data foundation and OFSAA frameworks such as T2Ts, Business Rules
• 3+ years of hands-on experience with OFSAA projects in the banking sector delivering regulatory reporting and or risk management reporting.

Preferred Qualifications

• Experience with analytical platforms such as OFSAA or other Risk solutions, BI tools (Tableau etc.), Database analytic tools
• Expert level knowledge of SQL
• 5+ years’ experience in Regulatory/Risk systems
• Expert in use of Microsoft Office applications (Excel, PowerPoint, and Word).
• Knowledge of financial instruments and products including an awareness of bank regulation, accounting, valuation techniques and risk measurement.
• Strong interpersonal and communication skills, both oral and written, with the ability to converse with a wide variety of people across functions / seniority.
• High energy, self-starter with a flexible and pragmatic attitude and a desire to show continued progress.
• Good to have: Coding knowledge of other languages such as PL/SQL, Python or R.
• Knowledge of finance business processes and the interaction between systems and processes
• Knowledge in SOX compliance in a publicly traded company, the Record to Report (R2R) cycle, and the management reporting cycle

Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes

• Partner with OFSAA ecosystem stakeholders (Reg Reporting, FTP, Profitability, Cash Flow Engine) to ensure seamless delivery to end consumers.
• Partner with technology teams in the development, implementation, testing, documentation and use of data/calculations for OFSAA Reg Reporting, FTP, Profitability, Cash Flow Engine processes
• Create business, functional requirements and data mapping documents.
• Configure OFSAA FSDF and AAI modules to meet project requirements.
• Contribute and support other group projects and initiatives.
• Analyze large data sets, automate processes within Finance application space
• Analyze new and existing data, build/enhance data management processe