Top Data & Analytics Jobs in Orlando, FL

Supports operations performance management through complex data analysis, KPI and reporting validation, dashboard and scorecard development, project execution, and stakeholder communication. The role uses SQL, Tableau, Python, Alteryx, automation, and approved AI/LLM tools to improve reporting accuracy, data quality, decision-making, and operational outcomes across collections and related banking functions.

Uses patent data and analytics expertise to define, evaluate, and improve AI-assisted patent intelligence products. Responsibilities include creating evaluation standards, reviewing AI outputs, identifying data and reasoning issues, shaping product use cases, collaborating with engineering and product teams, and presenting recommendations to senior stakeholders. The role supports portfolio comparison, competitor benchmarking, technology trends, licensing, M&A, patent summaries, and claim interpretation.

Designs and develops data infrastructure, ETL pipelines, prototypes, and enterprise data assets supporting analytics and Data Science. Partners with business users, data scientists, and analytic engineers to deliver solutions from ideation through implementation. Responsibilities include data exploration, testing, validation, monitoring, predictive-modeling support, data visualization, and functional test execution. Provides technical guidance and mentors team members while promoting innovation and process improvement.

Leads market research on state-level insurance markets, competition, regulatory and financial trends. Collects and validates public data, maintains dashboards, interprets quantitative and qualitative findings, and delivers strategic recommendations to executive stakeholders. Collaborates with underwriting, product, actuarial, and business development teams to align research with business priorities.

Lead the technical direction, architecture, reliability, observability, and modernization of a cloud-based data engineering platform. Design scalable pipelines and reusable frameworks supporting analytics and AI, improve data quality, and establish testing, code review, CI/CD, and engineering standards. Drive adoption of AI-assisted development tools and build agentic workflows across planning, coding, testing, and deployment. Partner with machine learning, MLOps, Analytics Engineering, and business stakeholders in a highly autonomous senior individual contributor role.

Analyze creator and platform performance data across social, link, and subscription channels. Produce weekly growth readouts, diagnose performance changes, recommend content and posting strategies, run measured tests, research external benchmarks, build dashboards, and identify data-quality issues. Translate findings into clear recommendations for nontechnical teams and leadership, helping guide content decisions and improve growth and revenue.

Designs, develops, and maintains reporting programs for the Vendor Management Organization. Extracts and analyzes data from multiple sources, performs trend and root-cause analysis, identifies process improvements, and presents KPIs and insights to stakeholders using Power Query, Python, and Tableau.

Analyzes booking pace, demand, occupancy, pricing, inventory, competitor activity, and revenue performance for a cruise business. Supports forecasting, yield optimization, pricing decisions, reporting, and Power BI dashboard development. Provides data-driven recommendations to leadership and collaborates with Sales, Marketing, E-commerce, Finance, Reservations, and technology teams to improve revenue outcomes, data quality, and forecasting processes.

Analyzes ESHS and sustainability data, maintaining analytics pipelines and developing dashboards, KPI reports, predictive models, and data-governance standards. Uses statistics, machine learning, and AI to evaluate program performance and identify corrective actions. Partners with subject matter experts, AI teams, and cross-functional stakeholders to translate business needs into data-driven solutions, communicate executive insights, and support enterprise analytics strategy and adoption.

Supports client implementations by designing and troubleshooting data integrations across clients, vendors, banks, and health plans. Uses SQL, APIs, ETL frameworks, relational models, and data validation practices to maintain integrity and compliance. Leads automation, client conversion, integration, and process-improvement projects; coordinates agile delivery phases, requirements, documentation, and deployment. Provides technical consulting, mentors analysts and associates, and partners with architects, product owners, engineers, and client operations teams.