Business Data Analyst (W2 Role Only No C2C and Local Candidate)

Title: Business Data Analyst Location: Princeton, NJ(Hybrid) Type: Contract Job Description Business & Stakeholder Engagement • Work closely with business stakeholders (Underwriting, Claims, Actuarial, Finance, Operations) to understand reporting and analytics needs. • Translate business questions and KPIs into data analysis, reports, and dashboards. • Conduct requirement-gathering sessions and prepare business requirement documents (BRDs) and reporting specifications. • Present insights, trends, and recommendations to business and leadership stakeholders in a clear and concise manner. Data Analysis & Reporting • Analyze data related to policy lifecycle, claims, premiums, losses, exposure, reserves, and billing. • Develop and maintain dashboards, reports, and scorecards using BI tools (Power BI, Tableau, etc.). • Perform trend analysis, variance analysis, and root-cause analysis. • Support regulatory, operational, and management reporting. • Validate data accuracy and ensure consistency across reports. Data Collaboration • Write and optimize SQL queries to extract and analyze data from enterprise systems. • Collaborate with data engineering teams on data availability, data quality, and transformations. • Assist with data reconciliation, data quality checks, and issue resolution. • Document data definitions, business rules, assumptions, and metrics. Insurance Domain Experience (Mandatory) • Strong hands-on experience in Insurance (P&C, Life, Annuity, or Reinsurance). • Solid understanding of: • Policy lifecycle (Quote, Bind, Issue, Endorse, Renew) • Claims lifecycle and claims financials • Premiums, losses, reserves, exposure • Billing and invoicing • Experience working with insurance platforms such as Guidewire, Duck Creek, Sapiens, or similar is highly preferred. Technical & Analytical Skills • Strong experience as a Data Analyst in enterprise environments. • Proficiency in SQL for querying and data analysis. • Hands-on experience with BI tools: • Power BI (preferred) • Tableau / Qlik (or similar) • Strong experience with Excel (pivot tables, formulas, data analysis). • Experience working with relational databases (SQL Server, Oracle, PostgreSQL). • Familiarity with data warehousing and dimensional models. Preferred Skills • Exposure to Azure / Cloud data platforms. • Experience with Power BI semantic models, DAX, and Power Query. • Knowledge of data governance, metadata, and data quality frameworks. • Experience working in Agile/Scrum delivery models. • Ability to support executive dashboards and self-service BI.