Top Business Intelligence Jobs in Pensacola, FL

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.

Senior Database Analyst/Administrator responsible for database architecture, administration, performance, security, data modeling, warehousing, ETL, migration, and data integrity. Develops SQL Server database objects, dimensional models, enterprise data marts, BI dashboards, and Splunk monitoring reports. Collaborates with stakeholders to translate business needs into technical requirements, supports Agile development, conducts code reviews, and implements cloud and hybrid-cloud database solutions.

Owns and leads commercial master data management across HCP, HCO, payer, patient, product, and organizational domains. Establishes governance frameworks, stewardship programs, data quality standards, matching and survivorship rules, and trusted golden records. Manages commercial data platforms, integrations, analytics datasets, releases, vendors, and offshore teams. Writes SQL, builds validations and data pipelines, troubleshoots integrations, supports commercial launches, and drives operational improvements across pharmaceutical commercial systems.

Leads the Sales Analytics and Reporting function and manages Sales Analysts. Oversees dashboards, scorecards, KPI tracking, profitability analysis, business insights, executive reporting, and sales technology platforms. Partners with Sales, Finance, Product, Technology, and other stakeholders to improve performance, profitability, planning, and decision-making. Develops team capability, reporting processes, platform adoption, and analytical effectiveness while translating complex data into actionable recommendations.

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.

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.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Analyze structured and unstructured data to identify trends, patterns, business insights, and performance opportunities. Develop and maintain advanced dashboards, reports, visualizations, KPIs, forecasts, and root-cause analyses. Provide actionable recommendations to leadership and stakeholders, respond to ad hoc reporting requests, define reporting specifications, integrate and validate data, and lead small projects and initiatives with minimal supervision.

Business Intelligence Analyst Interns analyze business and risk data, identify trends, support dashboard and reporting development, improve data quality and governance, document processes, conduct benchmarking, and present recommendations to leadership. The 12-week summer program provides hands-on experience in analytics, strategic planning, executive reporting, and risk decision support. Applicants must be pursuing a relevant degree and graduating in December 2027 or later.

This 12-week internship supports workforce optimization through operational data analysis, staffing models, forecasting, scenario planning, and Power BI dashboard development. The associate will create predictive staffing tools, document dashboards, analyze branch expansion strategies, and present insights to stakeholders and senior leaders. The role requires collaboration with the Workforce Optimization team and participation in day-to-day analytical and strategic activities.

Supports loan boarding and data integration initiatives by analyzing operational data, developing Power BI dashboards, defining KPIs, validating data, documenting reporting requirements, and presenting actionable insights. The role collaborates with business, analytics, and technology stakeholders to improve reporting effectiveness, operational transparency, process efficiency, and data-driven decision-making within mortgage lending operations.

Summer internship focused on analyzing program effectiveness, developing dashboards, scorecards, reports, and AI workflow solutions. The associate will use data tools to deliver actionable insights, partner with stakeholders, create documentation and training materials, and present findings to leadership. Projects involve Power BI, Tableau, SQL, Python, R, Databricks, Microsoft Copilot, and Copilot Studio.

Intern supports consumer lending operational analytics through data analysis, Power BI dashboard development, visualization, data governance, self-service analytics, process automation, and AI-enabled solutions. Responsibilities include identifying trends and performance drivers, translating findings into recommendations, partnering with stakeholders, improving data quality, standardizing reporting, and presenting insights to technical and business audiences.

Develop Power BI dashboards, reports, data models, and visualizations, while building Power Apps applications and Power Automate workflows to automate business processes. Gather requirements from stakeholders, integrate Dataverse, SQL Server, SharePoint, and other data sources, troubleshoot solutions, optimize reporting performance, analyze KPIs, and present insights to management. Provide ongoing support to business and finance stakeholders.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

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.

Build and maintain interactive Power BI and Amazon QuickSight dashboards, gather business requirements, define KPIs, develop data models and calculated measures, validate data accuracy, and support governance through documentation in Atlan. The role also includes optimizing dashboard performance, migrating reports across AWS and Azure, partnering with data engineers, and training business users. Candidates need strong BI, SQL, data modeling, and executive stakeholder engagement experience.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Design, develop, and publish advanced interactive Power BI reports and dashboards; define data structures and ETL needs; build analytics models using Microsoft BI stack (Power BI, SSAS/AAS, dataflows); use DAX and SQL to implement complex logic; collaborate with data engineering and business partners; mentor junior developers and performance-tune reports.

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Build and maintain Databricks data pipelines, ETL/ELT processes, SQL transformations, and Power BI dashboards for HR and People Analytics. Ensure data quality, optimize models and reporting performance, troubleshoot issues, document solutions, and collaborate with HR stakeholders and technical teams to deliver scalable workforce analytics.

Develops Power BI dashboards, reports, and automated workflows for Learning & Development and strategic management. Analyzes learning, workforce, and operational data to identify trends, measure effectiveness, and support business decisions. Partners with stakeholders to define reporting needs, improve processes, and administer learning technology platforms and LMS tools.

Senior Business Intelligence Analyst who develops and governs Power BI dashboards, analyzes clinic performance metrics, ensures reporting accuracy, and translates operational needs into technical requirements. The role manages BI projects end to end, prioritizes analytics tickets, presents insights to executive stakeholders, establishes reporting standards, contributes to data-model requirements, and mentors junior analysts across clinical and corporate operations.

Supports enterprise data governance and business intelligence for NAVSUP by profiling datasets, defining quality rules and business glossaries, validating metadata and lineage, reconciling API data, and tracking remediation. Develops test cases, dashboards, scorecards, reports, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders in Agile environments using Informatica, MuleSoft, Axon, Power BI, Azure DevOps, and AWS GovCloud.