Pre-screened and vetted in the Greater Miami.
Senior Data Analyst specializing in healthcare and financial analytics
Mid-level Data Analyst specializing in healthcare, e-commerce, and cloud analytics
Mid-level Data Analyst specializing in BI, ETL automation, and forecasting
Mid-level Business Analyst specializing in banking analytics and data engineering
“Analytics professional at Santander Bank with hands-on experience building SQL and Python workflows for transaction reporting, reconciliation, and monitoring across messy multi-source financial data. They combine strong data validation and exception-handling practices with stakeholder-friendly dashboards, and also bring digital analytics experience from a Google Analytics UI optimization project focused on funnel drop-off and engagement.”
Junior Data Analyst specializing in BI, ETL, and reporting
“Analytics professional with hands-on experience building SQL and Python workflows across SAP, Oracle, and internal operational systems, processing roughly 5 million records per month. They combine strong data quality rigor with stakeholder-friendly Power BI reporting, and cite a concrete impact of cutting reporting turnaround time from four days to two while surfacing cost anomalies for business teams.”
Mid-level Data Analyst specializing in marketing analytics and business intelligence
“Former Database Marketing Analyst with hands-on SQL experience supporting targeted casino marketing campaigns and a strong emphasis on validation accuracy. Also describes owning analytics work that standardized engagement metrics across teams, automated cohort/segmentation reporting, and helped identify onboarding friction that improved user engagement.”
Mid-level Business Analyst specializing in BI, predictive analytics, and operations
“ML engineer with hands-on experience building banking AI systems end-to-end, including a customer-targeting model that improved campaign response rates by about 10%. Also shipped a RAG-based banking FAQ/support feature with safety guardrails and production optimizations around retrieval quality, latency, and cost, plus reusable Python services that reduced duplicate work for other engineers.”
Mid-level SQL Developer specializing in MySQL, ETL, and cloud data pipelines
Junior Data Analyst specializing in BI, ETL, and healthcare analytics