Risk Data
3 months ago
The Risk Data & Reporting Analyst will assist in the research, development, and support of a Risk Business Intelligence program. They will help ensure timely production of risk reporting, dashboarding, and analysis in order to promote the value and the potential of Business Intelligence (BI) in the Risk organization. The Risk Data & Reporting Analyst will work collaboratively with business units to thoroughly understand the bank's reporting needs and outcomes.
Main Job Tasks and Responsibilities:
- Collaborate with Management and various Department staff to fully understand the risk reporting needs of the organization.
- Research business requirements and data characteristics to accurately map source data and attributes into viable reports, KRI's, KPI's, and dashboards.
- Build and test reports used by Management, Sr. Leadership and various Risk Management functions for management and business reporting.
- Assist in the production of executive summaries, dashboards, and reporting automations and programming.
- Assist with special projects within the department as the need arises.
- Perform statistical/analytical analysis, root cause analysis, data mining, business intelligence, visual analytics/visualization in support of Risk Management.
- Utilize visualization techniques to showcase results of analysis in presentations.
- Collect documentation and data for audit, exams, and risk assessments.
- Assist business units in implementing automations and processes necessary to comply with regulations.
- Perform additional duties as assigned.
- Follow and comply with all regulatory and compliance regulations.
- Provide internal service in accordance with Evolve Core Values.
- Bachelor's Degree mathematical, technical, or equivalent or 2-4 years working with BI solutions/systems.
- 3 years' banking experience or Risk Management experience.
- 3 years of experience in database environments and business information systems.
- 3 years knowledge of BI reporting and dashboarding.
- Strong Knowledge in SQL, and other languages a plus.
- Knowledge in Data Modeling concepts; Dimensional, Relational a plus.
- Strong proficiency in MS Office products.
- Awareness of and ability to use statistical techniques and research methods.
- Strong analytical, problem solving skills and abilities.
- Strong attention to detail and accuracy.
- Ability to manage multiple tasks/projects and deadlines simultaneously.
- Ability to work independently and with a team.
- Strong verbal and written communication skills.
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