IT Systems Analyst Business Intelligence
I work where business operations, enterprise applications, and data meet—improving data quality, supporting healthcare system modernization, and building reporting that helps teams move forward with confidence.
Diagnosis rows classified for a migration quality review
Application records in an employee reconciliation baseline
CRM candidate merges completed in a duplicate-review cycle
Constituent records in the CRM data-quality environment
Four examples of how I approach integration, data trust, reporting, and risk in real organizations. Counts are shown where supported and dated.
Synthetic-data demoBusiness intelligence · Integration
Mapped commerce, constituent, and communications information to support cross-system audience analysis in Power BI.
Healthcare IT · Migration
Supported AWARDS-to-WellSky RCS migration planning, historical data rules, diagnosis review, and traceable exception handling.
Operations · Access oversight
Developed repeatable comparisons between application activity and HR rosters to surface access mismatches and stale logins.
CRM · Data stewardship
Reviewed duplicate candidates, identity attributes, and data exceptions to strengthen stewardship and fundraising reporting.
Public case studies contain summarized project-level figures only. Screens and examples are recreated; no constituent, employee, clinical, or proprietary data is published.
I bring those perspectives together instead of optimizing a tool in isolation.
Requirement discovery, process mapping, vendor coordination, application troubleshooting, testing, and adoption planning.
Profiling, source-to-target mapping, identifier matching, quality rules, exception triage, and reconciliation.
Cross-system data modeling, dashboard design, KPI definitions, reporting validation, and decision support.
Technical training and certifications in CRM database administration, AI security, Power BI and IT support. Each credential links to its original certificate.
Blackbaud University
Proofpoint
Proofpoint
Microsoft · Coursera
Google · Coursera
Raiser’s Edge NXT administration and change management
Reliable reporting starts before the dashboard. It starts with a shared understanding of operations, records, and ownership.
Identify stakeholders, definitions, decision points, and operational risks.
Profile the sources, confirm identifiers, and track data exceptions.
Turn requirements into tested workflows, usable analytics, and documented rules.
Support training, adoption, ownership, and continuous improvement.
I’m a Chicago-based IT Systems Analyst with experience spanning healthcare services, enterprise applications, nonprofit CRM, data analytics, and organizational operations.
My background in engineering shapes how I solve problems: identify the system, understand the constraints, verify the evidence, and build something people can use. I enjoy working between technical teams and the business stakeholders who depend on them.
Current interests include Microsoft Fabric, enterprise analytics engineering, healthcare platform modernization, and responsible AI adoption.
Currently preparing for the Microsoft Fabric DP-600 exam; not yet certified.
Misericordia Heart of Mercy · Chicago
Enterprise applications, CRM quality, healthcare migration, Power BI, automation, and cross-functional reporting.
Healthcare & nonprofit operations
Earlier operational roles inform my ability to translate frontline requirements into practical systems decisions.
Philips Healthcare · Contract
Supported clinical monitoring deployments, user feedback, validation, issue follow-up, and end-user readiness.
American Cooperative School of Tunis
Developed data workflows, maintained databases, improved reporting, and supported systems adoption.
Open to thoughtful opportunities in IT systems analysis, healthcare technology, business intelligence, and data modernization.