We are seeking a senior level Data Quality Specialist to join our team in Pittsburgh, PA for a 12-month contract to hire opportunity in a hybrid environment! If you possess 2 years of banking, financial services, or auditing experience identifying data discrepancies and performing root cause analysis, please apply today!

Responsibilities:

• 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.
• Demonstrate strong data management and metadata analysis skills.
• Analyze, query, and manipulate data according to defined business rules and procedures.
• Perform root cause analysis for data errors, research the scope and complexity of issues, interpret findings, and identify steps for remediation.
• Prepare ad-hoc reports at the request of managers and/or other leaders.
• Ensure the accuracy and quality of own work by conducting thorough research on queries and providing accurate responses to relevant parties.
• Work effectively in a stringent deadline-driven environment with the ability to manage pressure and adapt to changing work conditions.
• Handle all enquiries professionally and in a timely manner.
• Implement and measure data quality and controls effectively.
• Determine the business impact level for data quality issues.
• Ensure adherence to data quality standards.
• Identify root causes for data quality errors and make recommendations for long-term solutions.

Qualifications:

• Strong oral and written communication skills, with the ability to understand compliance policies and process assigned tasks according to procedures.
• Excellent organization, documentation, communication, and presentation skills.
• Bachelor's Degree in Finance/Accounting is preferred, but applications from other fields are welcome as extensive training will be provided.
• Experience in banking, product/financial services, and/or auditing or compliance is preferred.
• Knowledge of structuring data environments and applications that utilize big data processes is preferred.
• Strong proficiency in Excel.
• Experience with issue management systems.
• Familiarity with logical data models.