Senior Business Analyst

Oversaw delivery of four data products—Market Share, Brand Health, National Accounts, and Independent Division—in partnership with Product Owners. Defined requirements, ensured quality assurance, and aligned outputs with business and client needs.

Led client engagements and cross-functional collaboration to translate requirements into scalable reporting and analytics solutions. Managed project lifecycle activities, risks, stakeholder alignment, resource allocation, capacity planning, compliance, and operational issue resolution.

Led global HR data integrations for the Visier analytics platform, ensuring end-to-end data accuracy, consistency, compliance, and adherence to enterprise data-governance standards.

Performed advanced root-cause analysis for complex data issues, implemented preventive measures, and collaborated with IT and HRIS teams to sustain long-term data integrity. Developed process lineage models spanning physical, logical, and field-level mappings across global systems, ETL pipelines, and downstream analytics platforms.

Defined and governed HR data access personas, aligning role-based security with privacy, compliance, and governance requirements for Visier implementations.

Led and optimized end-to-end data integration processes based on stakeholder requirements for data mart consumption through Power BI dashboards. Built KPIs to measure report usage among more than 250 SharePoint users across North America and Latin America.

Implemented an access-control strategy to secure LATAM employee data and automated confidentiality notices for more than 1,800 reports using Python. Consolidated payroll databases from SAP, Ofiplan, Kactus, EC, and ADP into centralized sources, built SQL data marts, and automated reporting.

Created native Python applications for ad-hoc reporting, reducing manual data consolidation work and improving reporting efficiency.

Improved and redefined the ETL process for migrating data from Greenway and eClinicalWorks EHR systems into an AWS cloud database.

Built data-verification strategies and KPI controls for revenue cycle management and clinical operations. Analyzed market and operational data for investment decisions and presented findings to the CEO, CFO, and CTO.

Developed an optimization strategy for the outbound channel and established KPIs for the potential-driver conversion process.

Supervised business process outsourcing data quality and analyzed driver acquisition channels, outbound-call activity, and new-product performance. Designed, optimized, and maintained national acquisition dashboards using Google Apps Script, Python, SQL, and HiveQL.

Developed a predictive model for the quality area using Python-based machine learning algorithms and provided databases.

Analyzed SAP HANA data and created Tableau dashboards to provide useful visualizations for maintenance-information analysis and decision-making.

MBA candidate.

Bachelor of Science in Industrial Engineering with a minor in Systems Engineering.

Received an honorable mention and scholarship for the MIT Supply Chain Management Master's program in Boston or the MIT Global Scale Network.

Remote international experience in New Zealand. Relevant coursework included Advanced Industrial Automation.

International experience in Canada. Relevant coursework included Investments, Information Technologies in Organizations, Logistics, Macroeconomics, and Strategic Management in Organizations.