
Florencia S
Skills

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Portfolio
Work experience
Business Data Analyst
Cognizant • Full-time
Feb 2026 - Present • 3 mos
• Lead the gathering and documentation of business requirements in partnership with client stakeholders. • Define functional specifications and acceptance criteria to ensure accurate, high-quality Bl deliverables. • Analyze business data, KPls, and processes to support solution design and decision-making. • Design and validate Bl solutions across data layers (SQL, data modeling) and visualization tools (Qlik Sense / Power BI). • Collaborate with cross-functional teams in an agile environment to support Bl development and deployment.
Data Analyst
Carrefour • Full-time
May 2025 - Feb 2026 • 9 mos
- Designed and automated financial and operational reporting for the Management Control function. - Developed executive and operational KPI dashboards using Power BI and Tableau to support strategic decision-making. - Analyzed large-scale datasets to identify trends, risks, and improvement opportunities leveraging SAP PaPM. - Collaborated closely with Finance, Controlling, and Expansion teams to ensure data accuracy and business alignment. - Improved data workflows and reporting processes, increasing efficiency and data reliability. - Built scalable data pipelines using PySpark on Dataproc to support Tableau and Power BI visualiza- tions. - Designed and executed ETL pipelines in BigQuery for high-performance analytical reporting. - Automated data ingestion and orchestration using Cloud Composer (Airflow). - Automated internal data processes using Python, reducing manual effort and improving turnaround times.
Data reporting analyst
Ternium • Full-time
Nov 2022 - Apr 2025 • 2 yrs 5 mos
- Managed and coordinated data integration processes. - Developed Power BI dashboards for the area. - Created, automated, and updated management reports/dashboards according to business needs. - Generated new reports providing visibility to KPIs in the area. - Interpreted internal client needs and company processes, translating them into operational and executive dashboards. - Understood various data sources to define processes that produce robust and iterative information. - Ensured data quality and contributed to growth strategy and data-driven decision-making. - Developed and presented training sessions on dashboards, data culture, and process improvements. - Analyzed management processes and implemented improvements.