Business Analyst
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Job Location:
Princeton, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
above is the JD
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.
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.
above is the JD
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.
