Top Senior Data & Analytics Jobs in Orlando, FL

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

The Solution Architect will lead AI-driven client engagements, architect solutions, and drive project feasibility, collaborating closely with cross-functional teams to deliver innovation for enterprises.

The Data Strategist will manage M&A integration by creating financial models, prioritizing data requests, and collaborating cross-functionally to optimize data value and operational efficiency.

The Senior Revenue Operations Analyst develops operational analytics and revenue intelligence, translating data into insights to guide decision-making and support business strategy across teams.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

Lead and grow a data engineering team to design, build, and operate scalable ETL/ELT pipelines and cloud data platforms. Own delivery across client implementations and internal programs, ensure data quality, governance, and compliance (PHI/PII), provide technical architecture oversight, stakeholder collaboration, and continuous improvement.

Design and build scalable data pipelines for Investment Data Standard and knowledge graph, implementing data quality controls and collaborating with cross-functional teams.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

Lead architecture and design of enterprise-scale, secure cloud data platforms, data domains, and data products to enable analytics and AI. Define semantic layer, data catalog, agentic data access to AI, and MDM strategies for complex domains while collaborating with product, engineering, and business stakeholders.

Lead enterprise analytics strategy and reporting across multiple business units, deliver executive-ready insights, design scalable BI frameworks, govern third-party analytics partners, and partner with technology teams to select and optimize BI tools and data infrastructure to drive consumer-facing growth.