BI Analyst – Snowflake & QNXT | USC Only.

Role Overview
We are seeking a BI Analyst with strong experience in Snowflake QNXT healthcare data and business intelligence reporting. The role will focus on analysing interpreting and visualising healthcare and operational data to deliver actionable insights for business stakeholders. The ideal candidate will leverage Snowflake SQL and BI tools to create datasets build dashboards perform data validation and support data-driven decision-making.
Key Responsibilities
Business Intelligence & Reporting
Develop and maintain dashboards scorecards and reports using Power BI
Analyse QNXT data including claims eligibility provider and membership datasets to generate actionable business 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.
Data Analysis & Insights
Create and manage reporting datasets and analytical data models within Snowflake.
Monitor key business and operational metrics and provide recommendations based on data findings.
Ensure data accuracy consistency and integrity across multiple systems.
Support root-cause analysis and data quality initiatives.
Stakeholder Collaboration
Partner with business users operations teams and data engineers to understand reporting requirements.
Present findings and insights to leadership and business stakeholders.
Support strategic initiatives through reporting and analytical recommendations.
Required Skills
47 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.
Preferred Skills
Exposure to AWS services such as S3 and Glue.
Knowledge of Python for data analysis and automation.
Understanding of healthcare payer or managed care business processes.
Experience working with large-scale datasets and data warehouse