Associate Business Data Analyst

Our insurance client's Enterprise Data Office is currently looking for a Business Data Analyst to join the Corporate Data Services team. This role will be focused on providing business and data analysis support for several highly visible, business-critical applications.

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).

In this role, you will be responsible for the following:

Applies functional knowledge and techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. Performs requirements planning, monitoring and requirements management. Independently performs data analysis, data discovery and data profiling using industry standard querying tools to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience. Maintains Data mapping documents, and other Data Design artifacts that define business data requirements and transformation rules. Act as liaison and advisor/consultant between the business and IT stakeholders. Performs and aids functional testing Structure and drive working and informational sessions that promote collaboration, synergy, and achieve desired outcomes. Understands the scope of the project and helps resolve scope questions and issues related to own work. Handles moderate level root cause analysis of business data issues and provides technical data guidance on issues Helps resolve scope questions and issue Leverage AI tools and techniques to streamline daily tasks such as data profiling, anomaly detection, and report generation within the data warehousing lifecycle. Design and refine AI prompts to extract insights, automate documentation, and support decision-making across business and technical teams. Translate business processes into AI requirements, ensuring that models and tools align with operational goals and stakeholder expectations. Collaborate with data engineers and stakeholders to identify opportunities for AI-driven enhancements in ETL workflows, metadata management, and data quality monitoring.

Bachelors degree and 3+ years of experience in business requirements and/or data analysis supporting the Insurance industry. Proficient in industry standard querying tools (Snowflake, Toad, Toad for Data Analysts, SQL, SAS, R, Python, Hive, etc) Experience designing and refining AI Prompts while translating business processes into AI requirements. Experience working on data warehouse or reporting/analytic projects Experience in industry standard querying tool Experience working on Agile projects Strong facilitation, requirements elicitation and data analysis skills Connected with industry best practices Proven ability to organize and manage multiple priorities in a timeline driven environment. Presentation Skills Focused on continuous improvements Interpersonal and influencing skills