Top Senior Business Intelligence Jobs in Miami, FL

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

Design and implement BI solutions and data pipelines, apply advanced analytics to analyze complex datasets, build data visualizations (Oracle BI, QlikView, Spotfire), advise clients, and lead teams to deliver insights and process improvements while upholding technical and professional standards.

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.

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.

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 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.

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.

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.

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.

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

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

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.

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.

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.

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.

Design, build, and maintain scalable AWS data pipelines, data lakes, and warehouses; develop ETL/ELT processes; create and manage AWS QuickSight dashboards (including RLS, embedding, Topics/Spaces, and QuickSight Q); ensure data quality, governance, security; optimize performance; collaborate with stakeholders and support production reporting.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

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 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.

Ensure integrity and governance of reporting databases; develop automation frameworks and ETL processes; prepare data for BI; conduct code and periodic reviews; create data policies and documentation; collaborate with stakeholders to enforce data management practices; perform data, gap, and root-cause analysis; maintain performance and adopt new technologies.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.