
Strategic Business Intelligence Specialist
Há 12 horas
This role entails leveraging complex analytical tools to craft data-driven solutions for regulatory reporting, data submissions, and finance capital reporting teams.
Key Responsibilities:- Oversee analytics processes across multiple functions or business units, utilizing sophisticated analytical tools to devise innovative solutions; mentor junior staff members.
- Collaborate with clients and mentors on the implementation of analytical tools and strategies, including statistical scoring, business intelligence, data quality, and analytical product/solution development.
- Determine the most effective analytical approach and support the development, implementation, and enhancements of said approach.
- Conceptualize, develop, and optimize analytical solutions for operational and executive management purposes, facilitating data-driven decision-making.
- Analyze results and provide recommendations for key business partners and senior management or communicate complex analysis findings to diverse audiences.
- Minimum 3 years of experience as a Business Analytics Lead, with a background in financial analysis or modeling for Asset Liability Management, Treasury Management, or Credit Risk Management.
- A working knowledge of Banking and Financial markets, with the ability to analyze regulatory implications of on- and off-balance sheet activities; familiarity with asset classes such as Commercial/Retail loans/leases, Derivatives, Securitized Assets, or Equity.
- Experience with FRY 9c, FRY 14M/Q, FR2590, Basel III, and related regulatory submissions is highly desirable.
- Intermediate to advanced SQL skills for data analysis in Oracle and Teradata databases.
- Proficiency in Excel and exposure to BI tools (Tableau, Microsoft Power BI, Oracle BI).
- Strong written and verbal communication skills; experience as a Quality Assurance tester or similar role.
- Experience with Jira or other test management tools.
- Extensive experience in analyzing, defining, and documenting business and data requirements.
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