Top Analysis Reporting Jobs in Miami, FL

Lead growth of the customer analytics practice in Communications, Media & Technology. Define strategy and thought leadership, communicate analytics value, and lead large-scale, complex client engagements. Deliver customer analytics, CRM modeling, reporting, and predictive analytics solutions while mentoring teams and driving client relationships.

Support the Advanced Innovations Team by researching market and technology trends, designing and assessing pilots (AI/automation), analyzing processes, defining success metrics, preparing reports/dashboards for leadership, coordinating pilots with stakeholders and vendors, monitoring risks and outcomes, and scaling successful initiatives.

Collects, cleans, and analyzes institutional data; produces reports, dashboards, and visualizations; supports accreditation and compliance; designs surveys and assessments; conducts longitudinal and cohort analyses; and provides evidence-based recommendations to university leadership.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

The Business Analyst will support government projects by documenting requirements, creating process maps, and improving service delivery through collaboration and innovative content development.

Support pricing strategy and commercial initiatives across North America by analyzing customer behavior and market trends, maintaining pricing models and dashboards, managing promotional analyses and reporting, and partnering cross-functionally to identify opportunities, forecast, and optimize revenue and profitability.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Build and maintain dbt models and core data marts in a cloud warehouse, ensure data quality and documentation, support BI dashboards and B2B client reporting, collaborate with data engineers on ingestion, and participate in CI/CD and governance practices.

Maintain data quality and build automated reports using Microsoft SQL tools, SSRS, and SSIS. Support client implementations, test data exchanges, streamline processes, and produce clear technical/user documentation while responding to internal and client requests.

Own design, build, and reliability of a cloud-native data lakehouse (Bronze->Silver->Gold). Build scalable ETL/ELT pipelines (ADF, Airflow), optimise Snowflake, develop dbt models, embed data quality/observability (Elementary), manage ADLS Gen2 and Azure serverless components, and drive infra-as-code, CI/CD, and cross-team collaboration.