Healthcare BI Analyst: Snowflake & QNXT Insights

Xlysi LLC.; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Xlysi LLC. is seeking a BI Analyst in Chicago to analyse and visualise healthcare and operational data using Snowflake, QNXT, and BI tools.

You will build datasets, dashboards, and data models, ensuring data quality and governance while supporting data-driven decision making for leadership and operations teams. The role emphasizes cross-functional collaboration, data validation, and continual insight generation.

Qualifications

• 4–7 years of experience in Business Intelligence, Reporting, or Data Analytics.
• Strong hands-on experience with Snowflake Data Platform.
• Experience working with QNXT healthcare data (Claims, Membership, Provider, Eligibility).
• Advanced SQL skills for querying, analysis, and data validation.
• Experience with Power BI, Tableau, or similar BI/reporting tools.
• Strong data reconciliation, reporting, and analytical capabilities.
• Excellent communication and stakeholder management skills.

Responsibilities

• Develop and maintain dashboards, scorecards, and reports using Power BI.
• Analyse QNXT data, including claims, eligibility, provider, and membership datasets, to generate actionable insights.
• Perform data extraction, transformation, validation, and reconciliation using Snowflake and SQL.
• Conduct ad-hoc analysis to identify trends, anomalies, and improvement opportunities.
• Translate business requirements into meaningful reports and visualisations for stakeholders.
• Create and manage reporting datasets and analytical data models within Snowflake.

Skills

Data analytics

Stakeholder communication

Data quality

Tools

Snowflake

QNXT data

Power BI

Tableau

SQL

Job description

Xlysi LLC. is seeking a BI Analyst in Chicago to analyse and visualise healthcare and operational data using Snowflake, QNXT, and BI tools.

You will build datasets, dashboards, and data models, ensuring data quality and governance while supporting data-driven decision making for leadership and operations teams. The role emphasizes cross-functional collaboration, data validation, and continual insight generation.