Data Management & Quantitative Analysis Specialist

IntePros is searching for a Data Management Specialist with our Financial Services client in Pittsburgh, PA! This will be a 4-day per week on-site position. As a Data Management & Quantitative Analysis Specialist, you’ll play a pivotal role in maintaining data integrity, supporting high-stakes issue remediation, and empowering business decision-making. What You’ll Do Lead Issue Triage & Remediation: • Review, analyze, and validate data quality issues—autogenerated or self-identified. Coordinate with subject matter experts to assess root causes, evaluate downstream impact, and support remediation. Governance & Oversight: • Ensure all issues in the issue management workflow tool (e.g., ServiceNow) are accurately documented, tracked, and escalated when necessary. Provide oversight to maintain integrity and consistency. Collaborative Problem-Solving: • Partner with SMEs and business/tech stakeholders to push high-priority data issues to resolution. Reporting & Metrics: • Monitor and maintain dashboards, reporting tools, and change requests. Regularly prepare presentations and meeting documentation for working groups such as Cross Data Issue forums. Process & Tool Enhancement: • Assist with gathering business requirements, testing enhancements (UAT), and delivering training for the issue management workflow tool. Documentation & Knowledge Sharing: • Keep internal content organized across SharePoint, Confluence, and shared drives. Deliver engaging user training sessions on processes and tools. Adapt & Thrive: • Excel in a deadline-driven, high-pressure environment. Support ad-hoc projects and continuously evolve with changing data governance standards. What You Bring • A strong sense of ownership and accountability in managing multiple tasks. • Excellent communication skills – written and verbal – across varied audiences. • Sharp organizational skills and analytical thinking. • A collaborative mindset with sensitivity to cultural and professional diversity. • Experience with tools such as: • Required: ServiceNow, MS Office (Word, Excel, PowerPoint, Visio, SharePoint) • Preferred: Jira, Confluence, Collibra, Power BI, ThoughtSpot • Educational training or professional experience in accounting, statistics, data engineering, data science, or computer science. • Exposure to data governance processes and issue management tools is a big plus.