Nestor Reyes

• Designed and optimized interactive dashboards in QuickSight and Power BI, improving decision-making in legal credit for 5 LATAM countries.

• Analyzed and optimized large data models with SQL in Amazon Athena for customer segmentation, reducing corporate credit approval process times by 25%.

• Collaborated with a multidisciplinary team under SCRUM methodology, working closely with a Product, Process, and Development Lead, to design data-driven solutions and optimize internal credit approval processes.

• Developed dashboards in QuickSight, Tableau, and Power BI for monitoring digital product KPIs, optimizing performance visibility.

• Implemented user segmentation and conversion analysis with SQL, Mixpanel, and later with GA4, increasing user retention by 8 percentage points and digital user base (MAU) growth by 34%.

• Automated reports with Python and Power Automate, reducing manual processing time by 60%.

• Cross-functional collaboration with Product, CRO, and Development teams to improve the user experience in digital products.

• Led the end-to-end planning and execution of the HR budget (Opex/Capex, Headcount, payroll, and strategic activities), performing 3 annual forecasts, predictive financial impact analyses, and proactive resource management.

• Led the simulation of budget projections and cost analysis for the strategic integration between Millicom and Telefónica, designing financial models that identified organizational synergy opportunities. My quantitative analyses (based on HR and operations data) enabled a 15% optimization of the cost structure, ensuring post-merger economic viability and aligning teams towards common goals.

• Drove a People Analytics project by designing interactive dashboards in Power BI that centralized critical HR data (payroll, headcount, recruitment, projects, and budget), reducing manual report processing time by 45% and delivering real-time strategic insights to senior management.

• Led the local migration of critical HR data from various workstreams (Payroll, Compensation, Talent) to the Workday system, extracting and consolidating historical information into standardized templates and performing end-to-end testing. This project reduced HR manual tasks by 58% and allowed over 1K employees to manage requests autonomously, optimizing operational efficiency post-implementation.