Dulce - Data Analyst with 3 years of experience in financial services

Applied statistical techniques to interpret complex data sets for business insights.

Created interactive dashboards using tools such as Tableau and Power BI to communicate findings.

Successfully wrote and optimized queries for data extraction and management from relational databases.

Performed data preprocessing to identify and correct inaccuracies, ensuring high-quality datasets.

Utilized advanced Excel functions for data organization, analysis, and reporting tasks.

Created and managed staff schedules for a team from 40 employees to 1000, ensuring adequate coverage and optimal utilization of resources., Analyzed historical data and forecasting trends to predict staffing needs and optimize schedules., Collaborated with management and other departments to ensure seamless operations and resolve scheduling conflicts., Implemented a new scheduling system, resulting in a 25% reduction in scheduling errors and a 15% increase in employee satisfaction., Developed and maintained reports to track scheduling metrics and identify areas for improvement., Coordinated with clients and internal stakeholders to understand scheduling requirements and preferences., Analyzed scheduling data to identify trends and opportunities for improvement, and presented findings to management.

Analyzed historical data and forecasting trends to anticipate staffing needs and optimize schedules for Humana's customer service team., Developed and implemented staffing plans to ensure adequate coverage and resource optimization for HealthEquity's claims processing team., Collaborated with Aetna's operational leaders to identify opportunities for process improvements and implement changes to increase efficiency and reduce costs., Utilized workforce management systems, such as Kronos and Workday, to manage staffing levels, schedules, and workflows., Developed and maintained reports and dashboards to provide visibility into intraday operations and support data-driven decision-making.

Analyzed real-time data to identify trends and anomalies in intraday operations., Monitored and reported on key performance indicators (KPIs) such as service level, response time, and abandonment rate., Collaborated with operations teams to implement adjustments to staffing, scheduling, and workflows to optimize intraday performance., Developed and maintained dashboards and reports to provide visibility into intraday operations and support data-driven decision-making., Identified opportunities for process improvements and implemented changes to increase efficiency and reduce costs.