Top Business Intelligence Jobs in Palm Bay, 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.

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 development and continuous improvement of EHS safety management systems and DriveSafe program. Oversee driver scorecards, performance analytics, dashboards, and ad hoc reporting. Partner with EHS, operations, IT, and leadership to align systems, ensure data governance, drive projects, implement EHS technologies, train users, support compliance, and use data-driven insights to reduce incidents and improve safety outcomes.

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.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

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.

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

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.

Design, develop, and troubleshoot SAP reporting solutions, data marts, OLAP and dashboards. Translate business needs into BI solutions, follow data management processes, analyze trends, collaborate on database and architecture design, and evaluate future data delivery tools.

Designs, develops, and delivers BI and analytics solutions (reports, dashboards, data marts, cubes). Analyzes requirements, architects data structures, mentors junior staff, evaluates BI/visualization technologies, and supports production troubleshooting and stakeholder communication.

Use data and analytics to answer moderately complex business questions, develop standards for data retrieval and reporting, build and enhance Power BI dashboards, clean and analyze data, monitor KPIs, and translate technical findings into clear business recommendations for stakeholders and management.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.

Design and deliver BI solutions by analyzing large, complex healthcare datasets. Architect MDM/identity-resolution and semantic models, untangle legacy data ecosystems, defend technical approaches to executives, influence strategy, and implement cloud/Databricks-based ETL and analytics solutions.

Lead BI analytics and governance for client accounts: manage BI analysts, deliver dashboards and reports, oversee data mapping, modeling, quality, and platform initiatives (Power BI/Databricks), advise stakeholders, drive analytics roadmap, and apply advanced analytics and ML to optimize workplace and portfolio insights.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.

Lead design, development, and optimization of Power BI dashboards and data models, analyze complex business problems using SQL and large datasets, deliver insights to executive leadership, maintain data accuracy and KPIs, drive BI process improvements and automation, and serve as the Power BI subject-matter expert across cross-functional teams.

Build and maintain Salesforce reports and dashboards, analyze data and resolve quality issues, leverage AI tools for reporting, drive process improvements and manage projects, document solutions, and train stakeholders to increase data literacy across the organization.

Design, develop, and maintain enterprise Power BI reports, dashboards, and semantic models for healthcare, finance, and operations. Build complex DAX measures, optimize performance, administer Power BI Service (security, refreshes, gateways, deployment), establish governance, and collaborate with stakeholders to translate requirements into actionable analytics.

Lead BI and data for a large real estate account: design and deliver Power BI dashboards, data governance, integrations, SharePoint and automation solutions, build analytics roadmap, translate data into executive insights, drive process improvement, and lead a technical analytics team.

Own end-to-end BI projects: build and maintain dbt models and SQL pipelines in Snowflake, architect OMNI dashboards, ensure data quality, automate reporting, apply statistical methods for insights, lead ROI and causal analyses, and partner with finance, GTM, and customer success to drive data-informed decisions.

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.

Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.

Design, build, and maintain Power BI reports and semantic star-schema models; author and audit SQL; create visualizations; collaborate with stakeholders to scope solutions; improve BI dashboards; ensure data quality and documentation; share best practices and support cloud and on-prem reporting architectures.