Job Description

Data Analyst - I

Location: Hartford, CT / Chicago, IL / Columbus, OH / Charlotte, NC Work Model: Hybrid (3 days onsite – Tuesday to Thursday) Pay Rate - $30 - $35/Hr on W2 Duration - 06 Months with possible extension

Overview

The Enterprise Data Office at Insurance is seeking a Business Data Analyst to support Corporate Data Services. This role focuses on delivering data analysis and business requirements support for high-visibility, business-critical applications.

You will act as a key liaison between business stakeholders and technical teams, ensuring data-driven solutions are accurately defined, developed, and delivered.

Key Responsibilities

• Gather, analyze, and document business and data requirements from stakeholders
• Perform data analysis, data discovery, and data profiling using industry-standard tools
• Develop and maintain data mapping documents and data design artifacts
• Translate business needs into clear, actionable technical requirements
• Act as a bridge between business and IT teams
• Support and participate in functional testing and validation
• Lead and facilitate working sessions and stakeholder discussions
• Perform root cause analysis on data-related issues and provide recommendations
• Ensure clarity around project scope and requirements alignment

AI & Data Innovation

• Leverage AI tools for data profiling, anomaly detection, and reporting
• Design and refine AI prompts to generate insights and automate documentation
• Translate business processes into AI-driven requirements
• Collaborate with data engineers to enhance ETL workflows, metadata management, and data quality

Required Qualifications

• Bachelor's degree required
• 3+ years of experience in business/data analysis (preferably in Insurance domain)
• Strong experience with SQL and data querying tools (e.g., Snowflake, Toad, SAS, Python, R, Hive)
• Experience working on data warehouse / reporting / analytics projects
• Familiarity with Agile methodologies
• Strong skills in requirements gathering, data analysis, and stakeholder communication
• Experience with AI tools and prompt design is a plus

Key Skills

• Data Analysis & Profiling
• Requirements Elicitation & Documentation
• Data Mapping & Data Design
• Stakeholder Management
• Problem Solving & Root Cause Analysis
• Communication & Presentation Skills
• Ability to manage multiple priorities in a fast-paced environment

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