Top Business Intelligence Jobs in Miami, FL

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Act as a strategic partner to Revenue Operations by analyzing performance, building executive dashboards and reports, improving CRM data quality and governance, supporting forecasting and pipeline management, and designing scalable processes and automations to increase efficiency and revenue visibility.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead design and implementation of process and system improvements, perform data analysis and queries, produce BI reports, gather requirements, coordinate projects, and provide analytical insights to support healthcare business decisions. Work with databases, reporting tools, EPIC, Tableau and SAP, and communicate across organizational levels.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Support and maintain complex casino marketing systems and data pipelines (SAS/SQL, batch jobs, file transfers, DWH). Act as technical liaison to IT, DWH, BI, and shipboard teams; translate business needs to technical requirements; troubleshoot code, jobs, and data feeds; perform UAT and validate fixes; document processes and optimize automation to reduce risk and improve scalability.

Support and maintain complex casino marketing systems and data pipelines (SAS/SQL, batch jobs, EDW, file transfers). Act as technical liaison to IT/DWH/BI/shipboard teams, translate requirements, troubleshoot code and data issues, run UAT, document processes, and optimize automation to improve reliability and revenue outcomes.

Designs and builds Workday reports across Finance, HCM, and Supply Chain. Gathers requirements, analyzes data integrity, produces recurring and ad-hoc reports, troubleshoots discrepancies, and partners with stakeholders to deliver analytics and visualizations supporting financial and operational decisions.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

Design, develop, and tune BI reports and dashboards; partner with stakeholders to gather requirements; build SQL queries and metadata objects; support deployment and ongoing enhancements for data warehousing and reporting solutions.

Support and optimize complex casino marketing systems and data pipelines. Troubleshoot SAS/SQL code, batch jobs, file transfers, and shipboard data feeds. Translate business requirements to technical solutions, validate fixes via UAT, produce documentation, and partner with IT, DWH, BI, and shipboard teams to ensure accurate offer generation and campaign execution.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

The Market & Business Intelligence Analyst conducts research on clients and competitors, analyzes data for strategic initiatives, and supports business development efforts.

Design, develop, and maintain data warehousing, ETL, and BI reporting solutions. Build reports and dashboards (Power BI, SSRS, Tableau), ensure data accuracy, gather stakeholder requirements, implement end-to-end BI solutions, and support finance and ERP-related analytics. Maintain cloud/on-prem ETL and Azure data warehouse pipelines.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Design, develop, deploy and support SQL-based BI solutions including ETL, SSAS cubes, SSRS/Tableau reporting and data marts. Troubleshoot performance, tune queries, provide Tier 2 BI support, and collaborate across teams from analysis through implementation and testing.

The Manager of Business Intelligence leads BI initiatives, manages a team of analysts, oversees project delivery, ensures data quality, and drives data-driven decision making across the organization.

Own and operate the Microsoft Fabric and Power BI platform end-to-end: administer tenants, capacities, OneLake, and governance; build secure data integration pipelines and access layers for BI and AI agents; automate CI/CD and platform operations; enforce security and data governance; and translate business requirements into technical designs while liaising between IT, security, and business stakeholders.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

Design and deliver BI reports, dashboards, scorecards and analytic solutions for Medical Economics. Partner with business, actuarial, and technical teams to gather requirements, define business rules, manage BI development lifecycle, investigate trends, maintain knowledge base, and support analytics projects to inform cost and performance decisions.