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Senior Analyst, Data Analytics

Applications are closed

  • Job
    Full-time
    Senior Level
  • Data
  • $75K - $105K
  • Hartford

Requirements

  • Bachelor’s degree in Computer Science, Data Analytics, Actuarial Science, or Statistics
  • 5+ years of experience in the financial services industry, preferably in insurance
  • 5+ years of experience in analytic capabilities, to include data management (cleaning, merging, and reshaping), with cloud data structures
  • Demonstrated knowledge with programming languages such as R (preferred), Python, SQL, etc.
  • Understanding of code change management using AWS Code Commit/ Git
  • Strong ability to interpret and document requirements, create and maintain clear documentation, identify impacts of changes, analyze problems, and communicate results.
  • Ability to work with cross-functional teams to identify, evaluate, implement, and communicate enterprise practices and standards for data management across systems.
  • Ability to educate and mentor others in the organization in such areas as data acquisition, data management, and data utilization.
  • Demonstrated knowledge data analytics in an insurance or financial services industry, data structures, statistics, data governance and quality control.
  • Ideally, possess experience with a business intelligence tool (i.e. Quicksight, QlikView, Tableau).

Responsibilities

  • Build a solid understanding of technical components of the AWS Enterprise Data Warehouse and Data Mart
  • Troubleshoot and maintain productionized business reports using posit Workbench/ posit Connect.
  • Adhere, promote, and enforce standard and controlled processes and procedures for data management. Implement data quality practices that will improve data management practices.
  • Collaborate with a broad range of stakeholders to understand complex business questions and deliver solutions to business owners that are consistent with the company's data strategy and infrastructure.
  • As part of enterprise-level and business area specific projects, assist with defining and writing requirements, coding programs, data mapping, user acceptance testing, and business intelligence tool reporting across multiple insurance subject areas.
  • Build expert understanding of the Data Dictionary and Data Quality Business Requirements Artifacts; understand how information is gathered, used, stored, interpreted, and how it is integrated into the metadata repository.
  • Perform other duties as assigned.

FAQs

What are the main business areas that this position will support with data analytics?

This position will support strategically important data integration initiatives impacting a large portion of our business areas including actuarial, new product development, distribution, and operations.

Why is data analytics and management a top priority for the company’s senior leaders?

Data analytics and management is a visible top priority for the company’s senior leaders because it is essential for business success and optimization of performance improvement efforts.

What qualities are important for the ideal candidate for the Data Analyst role?

The ideal candidate for the Data Analyst role is highly collaborative, accountable, and focused on providing analytical support across a breadth of projects within the organization.

Working harder to be your carrier of choice. Headquartered in Hartford's Boat Building.

Finance
Industry
201-500
Employees
2015
Founded Year

Mission & Purpose

Nassau is always working harder to be your carrier of choice. We offer insurance products that can help you meet your retirement goals, such as protecting your savings, delivering guaranteed income, or paying for health care costs. We’re dedicated to providing best-in-class service and keeping things simple, and will have your back. Nassau Financial Group is headquartered in Hartford, Connecticut with $23.3 billion in assets under management and 386,000 policyholders and contract holders.* We have been doing this a long time – 170 years – but we remain humble enough to always try to improve.