Data Analyst

$91,800 - $134,600/Yr

Munich Re Group - Princeton, NJ

posted about 1 month ago

Full-time - Entry Level
Princeton, NJ
Insurance Carriers and Related Activities

About the position

The Data Analyst position at Munich Re America involves utilizing data to solve business problems and ensuring the accuracy and integrity of the company's data landscape. The role requires collaboration with various teams to enhance data collection and storage procedures, develop data quality analysis, and support data-driven initiatives that drive business value and actionable insights.

Responsibilities

  • Perform data analysis and collaborate with data engineers, data modelers, and data architects to enhance data collection and storage procedures.
  • Prepare data quality analysis and reports to ensure quality data.
  • Evaluate changes to source systems and their impacts on the data and reporting landscape.
  • Work closely with business analysts to understand source systems and assist in data integration and transformation analysis.
  • Support teams with data requirements, source-to-target mappings, and other data-oriented deliverables.
  • Consult with data/business owners to identify data issues and generate solutions.
  • Participate in discovery meetings, analyze project requirements, and document key issues.
  • Troubleshoot job failures with developers as necessary.
  • Support the development and monitoring of data quality and governance processes.
  • Identify operational gaps in delivery based on potential business usage.

Requirements

  • Bachelor's Degree or equivalent work experience.
  • 5+ years of experience in commercial and specialty insurance with a focus on data or business analysis.
  • Specific domain expertise in insurance areas such as Underwriting, Claims, Finance, or Operations.
  • Understanding of insurance KPIs and experience in their implementation.
  • Demonstrated analytical and problem-solving skills.
  • Knowledge of data warehousing, business analysis tools, and data management techniques.
  • Ability to work in a fast-paced environment and manage multiple priorities.
  • Strong interpersonal communication and presentation skills.

Nice-to-haves

  • Experience with data visualization tools other than Power BI.
  • Familiarity with additional programming languages or data analysis tools.

Benefits

  • Health insurance coverage
  • Employee wellness program
  • Life and disability insurance
  • 401k match
  • Retirement savings plan
  • Paid holidays
  • Paid time off (PTO)
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