Data Analyst (Life Insurance Domain) - Newark, NJ (Hybrid Onsite) - CG

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Stakeholder Management
Extract
Transform
Load
JIRA
Life Insurance
Microservices
Microsoft Excel
Collaboration
Communication
Data Dictionary
Data Warehouse
Documentation
Acceptance Testing
Agile
Analytical Skill
Business Analysis
Business Process
Project Scoping
Python
Quality Assurance
R
SAS
SQL
Scrum
Testing
User Stories

Job Details

Role: Data Analyst

Locations: Newark, NJ (Hybrid Onsite)

Duration: 12+ Months Contract

Note: Candidate needs to be in the office 3 Days every week. Local candidates only.

Key Responsibilities:

Business Analysis:

  • Collaborate with stakeholders to gather business requirements and detail them in User Stories.
  • Identify gaps in business process and process inefficiencies and tracking them for solutions.
  • Assist in project scoping, documentation, and stakeholder communication.

Data Analysis

  • Data Analyst profile with Life insurance experience
  • Collect, clean, and interpret large datasets from legacy data sources.
  • Build and maintain data dictionary and data traceability from legacy sources to other applications.
  • Develop and maintain data models and build requirements for converting into APIs/microservices.

Collaboration & Communication:

  • Work closely with Product Owner & technical teams to share requirements and address gaps via JIRA.
  • Work with operations teams to gather requirements and maintain a traceability of the data elements.

Qualifications:

  • 5 years of experience in a similar Business Analyst and/or Data Analyst role.
  • Strong analytical skills with proficiency in SQL, Excel.
  • Experience with statistical tools (e.g., R, Python, SAS)
  • Excellent communication and stakeholder management skills.
  • Working experience with Agile or Scrum methodologies is a must.

Preferred Skills:

  • Experience in detailing user stories in JIRA.
  • Experience with data warehousing and ETL processes is a plus.
  • Experience with supporting testing tasks(QA and UAT)
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