Top Data & Analytics Jobs in Orlando, FL

Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.

Build and optimize scalable Databricks data pipelines across a medallion architecture. Develop data models, implement data quality checks and validation, integrate Azure services, and ensure data accuracy, governance, lineage, security, and performance. The role requires designing config-driven pipelines supporting CDC and event-based processing, maintaining CI/CD deployments, and working with structured and unstructured data across SQL and NoSQL systems.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.

Oversee client data pipelines, automated ETL/ELT workflows, data quality, and governance while leading advanced marketing measurement applications such as Media Mix Modeling, causal impact, and market testing. Direct data management efforts within GCP, guide product and technical roadmaps, collaborate with media analytics teams, and present technical insights to client stakeholders.

Perform deep-dive analytics with stakeholders to identify cost-of-care opportunities, develop enterprise-level metrics and reporting, extract and manipulate data using SQL, and build impactful Tableau visualizations. Optimize dashboards, provide strategic direction, mentor metrics associates, and translate findings into process improvements and actionable recommendations.

Coordinates data processing and purchasing-related requests for utility programs. Reconciles information across internal and external systems, investigates discrepancies, maintains accurate records, performs data entry, coordinates field documentation, and creates operational and client-facing reports. Communicates with utility clients, field supervisors, and project teams while identifying process improvements that enhance efficiency, data quality, and customer satisfaction.

Coordinates data processing and purchasing-related requests for utility program operations. Reconciles information across systems, investigates and resolves discrepancies, maintains accurate records, coordinates field documentation, performs data entry, and creates operational and client-facing reports. The role communicates with utility clients, field supervisors, and project teams while identifying process improvements that enhance data quality, efficiency, and customer satisfaction.

Own the Industrial platform’s data infrastructure, datasets, dashboards, models, and AI-enabled analytical workflows. Deliver investor and occupier business-development insights, supply-chain mapping, surveys, executive reporting, presentations, and pursuit support. Partner with Research, Sales Enablement, technology, operations, brokers, and leadership to improve data integrity, self-service reporting, platform capabilities, and automation. Coordinate cross-functional initiatives and translate quantitative analysis into actionable narratives for senior leaders and clients.

Owns marketing performance reporting, KPI frameworks, attribution, funnel measurement, and dashboard development across digital channels. Builds and integrates web, CRM, sales, and customer datasets using SQL, Databricks, BigQuery, and visualization tools. Analyzes user behavior, campaign performance, conversion, retention, and revenue influence to recommend personalization and optimization strategies. Partners cross-functionally with Marketing, Sales, IT, Finance, and Data teams while ensuring data quality, privacy compliance, and consistent tracking taxonomies.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.