IT Data Management & Quantitative Analysis Pittsburgh, PA (First Preference) and Lake Mary, FL (Second Preference) hybrid 2 days onsite 3 days remote (need nearby candidates) Description: Establish partnerships with source system data owners to understand and document requirements related to the use and gain an understanding of the data, including scope of data, limitations, attribute definitions, and linkages to other datasets. Strong Data Management and Metadata Analysis skills. Analyze, query and manipulate data according to defined business rules and procedures. Performs root cause analysis for data errors; research and find scope and complexity of issues, interpret findings, and identify steps for remediation. Prepares ad-hoc reports at the request of managers and/or other leaders. Primarily responsible for the accuracy and quality of own work. Ensure accurate research carried out on queries and subsequent responses prior to submission to relevant parties. Working in a stringent deadline driven environment with the ability to manage pressure and changing work environment Professional and timely handling of all enquiries. Experience with, and understanding of, implementing and measuring Data Quality and Controls. Determine business impact level for data quality issues. Ensure adherence to data quality standards. Determine root cause for data quality errors and make recommendations for long-term solutions. To be successful in this role, we're seeking the following: Oral and written communication skills and the ability to understand compliance policies and process assigned tasks in accordance with procedures. Strong organization, documentation, communication, and presentation skills. Bachelor's Degree within Finance/Accounting would be preferred. However, we are open to see applications from other studies as we provide an extensive training. Banking, product/financial services and/or auditing or compliance experience would be preferred. Knowledge of the structuring of data environments and applications that use big data processes is a preferred. Strong knowledge of Excel. Experience with issue management systems. Familiar with logical data models.