Associate Data Analyst

  • 37293
  • Non-Life - Actuarial
  • |
  • Connecticut, United States
  • |
  • Apr 28, 2020
  • With oversight, provides support to complex business/technical processes and tools for multiple products, requiring the use of technical solutions across multiple departments or lines of business.
  • Serve as a team member on projects of large scope and moderate to high complexity.
  • Has aptitude to develop and learn multiple technical business systems enterprise wide.
  • Develop data and reports for field and customers to clearly articulate value to agent partners and customers.
  • Provide timely and accurate analytical support to team supported, ensures results are validated to ensure accuracy.
  • Develop an understanding of business processes and the P&C Insurance business to translate requirements into analytical reporting.
  • Summarize information and effectively communicate analyses in writing and verbally to internal partners.
  • Participate in the development of innovative solutions by approaching problems with curiosity and open-mindedness, using existing information to its fullest potential.
  • Interviews business users to obtain data requirements for applications.
  • Collect, analyze, and report data to meet customer needs.
  • Participate in the development of new tools and process enhancements to enable new capabilities and solutions to drive business growth.
  • Assist in various projects, meet deadlines, and handle multiple priorities in a fast-paced, ever-changing and evolving business environment.
  • Establishing relationships with one or more business partners by building knowledge of business processes/drivers and technical systems.
  • Document processes to allow for consistent approach to future initiatives.
  • Proactively research and apply Best Practices to technology solutions.
  • Participating in the development of prototypes for various reporting, system and tools.
  • May research, Prototype and Write research briefs on emerging technologies related to data and analytics.
  • May develop code, tests, debugs and document working data and analytics systems to demonstrate the business value.
  • May apply proven data management techniques, application development methodologies and other technologies to produce comprehensive prototype solutions.
  • May perform source system data analysis.
  • Bachelor’s degree or 1+ years of related analytical experience required.
  • Solid understanding of Microsoft Excel.
  • Strong business and financial acumen, has the aptitude to learn.
  • Intellectually curious.
  • Solid analytical and problem solving skills.
  • Strong communication and interpersonal skills.
  • Self-motivated and organized.
  • May require knowledge of programming language and scripting language related to data and integration.
  • Able to work independently with guidance and direction as appropriate.