Top Data & Analytics Jobs in Orlando, FL

Analyze product and business data to define KPIs, build reliable analytics models and dashboards, and partner with cross-functional teams to surface insights, improve data quality, and support forecasting and experimentation.

Lead and scale the data engineering team to design, implement, and maintain cloud data warehouses, robust ETL/ELT pipelines, data sharing/integration, and BI tooling. Drive roadmap prioritization, recruitment, best practices, governance, and cross-functional collaboration to deliver secure, compliant data solutions that enable analytics and product teams.

As a Marketing Analyst, you will analyze marketing data, provide insights, and create reports and dashboards to optimize marketing efforts across various channels and products.

Lead end-to-end data acquisition, ingestion, curation, and storage for foundation models (3D, video, image, audio). Ensure legal compliance, negotiate vendor contracts, develop tooling and standards for searchable, indexed datasets, and align data strategy with research and product roadmaps while managing cross-functional teams and vendor relationships.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

As a Data Analyst at Blue Rose Research, you will design surveys, manage data collection, analyze data, and compile insights for political strategists, working closely with a diverse team and stakeholders to provide strategic guidance.

The role involves developing reports and insights for B2B analytics, managing data architecture, and collaborating across teams to enhance health engagement and outcomes.

The Senior Customer and Industry Insights Analyst will analyze data trends, generate insights, publish reports, and collaborate with various departments to inform decision-making and strategy.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.