Data Analyst

Kforce has a client in need of a Data Analyst in Princeton, NJ. Responsibilities:

• Analyze information from multiple business systems to support operational and product decisions
• Build and maintain dashboards, reports, and performance metrics
• Prepare, reconcile, and validate datasets to ensure accurate reporting
• Identify trends, data inconsistencies, and opportunities for process improvement
• Investigate reporting issues and recommend practical corrective actions
• Establish data quality controls, validation standards, and monitoring procedures
• Maintain reference data and business-managed data tables
• Partner with business and technical teams to translate needs into effective solutions
• Troubleshoot system defects, assess business impact, and support resolution efforts
• Document requirements, process flows, data mappings, user stories, and acceptance criteria
• Participate in testing, release validation, and production support activities
• Evaluate data movement across operational platforms and downstream reporting environments
• Promote automation, self-service reporting, and continuous process improvement
• Communicate technical findings and project updates to business stakeholders
• 2 to 5 years of experience in data analysis, business analysis, systems analysis, or a related role
• Experience supporting reporting platforms, operational systems, or data-driven business functions
• Property and casualty insurance experience preferred
• Knowledge of underwriting, policy administration, claims, or insurance operations is beneficial
• Strong SQL skills with experience analyzing and manipulating large datasets
• Experience creating reports and visualizations with Power BI or a comparable analytics platform
• Advanced Excel skills, including lookup functions, pivot tables, formulas, and data analysis
• Experience with data validation, reconciliation, testing, and issue investigation
• Familiarity with Agile practices and project management or documentation tools
• Understanding of system integrations, data transformations, and application interfaces preferred
• Exposure to insurance technology platforms is a plus
• Interest in artificial intelligence and emerging analytics capabilities is beneficial
• Strong analytical, organizational, and problem-solving abilities
• Excellent communication and stakeholder management skills
• Ability to manage competing priorities while maintaining accuracy and attention to detail
• Ability to collaborate effectively with technical and non-technical teams