This featured candidate is a BI Analyst/Analytics Engineer who turns messy finance and operations data into trusted, automated reporting so leaders can make decisions quickly with confidence! Please take a moment to review his professional summary:
PROFESSIONAL HIGHLIGHTS
- Identified and corrected a material collections overstatement (~$1.8M) through detailed source-to-report reconciliation, improving financial accuracy and executive confidence in reporting.
- Built and automated finance and operational reporting pipelines, reducing recurring manual reporting and reconciliation work by 10+ hours per week.
- Designed scalable analytics and data models supporting FP&A, Revenue Cycle, Operations, and Accounting teams with standardized, decision-ready metrics.
- Delivered a critical regulatory/ASC reporting initiative under tight deadlines, helping the organization avoid ongoing financial penalties and compliance risk.
FUNCTIONAL/TECHNICAL SKILLS
- Advanced SQL & Analytics Engineering: Complex transformations, fact/dimension modeling, metric standardization, and source-to-report reconciliation
- Finance & Operational Reporting: FP&A, revenue, collections, performance metrics, executive and regulatory reporting
- Data Pipelines & Cloud Platforms: AWS (S3, Lambda, Redshift), BigQuery, automated refreshes, scalable data foundations
- BI & Semantic Layer Design: QuickSight, Looker, Tableau, Power BI; KPI definition, self-serve dashboards, access-controlled reporting
- Data Quality, Governance & Automation: Variance analysis, validation checks, root-cause analysis, eliminating manual workflows
YEARS OF EXPERIENCE: 11+ Years overall IT experience
PREFERRED EMPLOYMENT TYPE: Ideally full time/permanent but open to W2 as well
PREFERRED LOCATION: NYC metro area