Associate Data Operations – Quality Analyst

• Perform day-to-day data analysis and deliver reports and insights for internal stakeholders and client-related requests
• Identify, locate, extract, and consolidate data from multiple sources
• Use artificial intelligence tools to support data research, consolidation, analysis, and reporting while verifying output accuracy
• Monitor and assess data quality, completeness, consistency, and accuracy
• Investigate data discrepancies, document findings, open tickets, and drive issues through completion
• Create, maintain, and validate recurring and ad hoc reports, dashboards, and business metrics
• Support data initiatives including Device IQ and Protection Index
• Manage multiple workstreams and ensure tasks and issues remain on track
• Communicate findings, progress, risks, and recommended actions to business and technical stakeholders
• Document data sources, processes, assumptions, and analysis for repeatability and knowledge sharing

• At least 2 years of experience in data analysis, business analysis in a technical environment, data operations, or a related role
• Experience extracting, analyzing, validating, and reporting data from multiple sources
• Working knowledge of SQL, Microsoft Excel, and Power BI or comparable reporting and visualization tools
• Ability to investigate ambiguous requests, identify needed data, and independently develop practical solutions
• Strong attention to detail and disciplined approach to data quality and accuracy
• Ability to manage multiple assignments, shifting priorities, and time-sensitive requests
• Effective written and verbal communication skills
• Ability to collaborate across business and technology teams
• Interest in and practical understanding of responsible artificial intelligence tool use
• Bachelor's degree in a technical, analytical, or business discipline, or equivalent professional experience (preferred)
• Experience with data quality assurance, dashboard validation, issue management, or operational reporting (preferred)
• Experience with Salesforce, Oracle databases, APIs, web services, or ETL tools (preferred)
• Exposure to Python, R, SQL Server Integration Services, or SQL Server Reporting Services (preferred)
• Experience supporting internal customers or responding to time-sensitive business requests (preferred)

• Full-time employment
• Virtual interviews conducted on video
• Responsible use of artificial intelligence supported by Assurant
• Employment contingent upon identity verification process, which may include biometric technology where permitted by law