Top Senior Level Data & Analytics Jobs in Orlando, FL

The Strategic Analyst will manage the strategic planning process and lead M&A activities across Correct Craft's entities. Responsibilities include collaborating with leadership on strategic goals, analyzing complex data for business growth, and managing various project phases while improving processes and stakeholder relationships.

The Martech Data Engineer will design and develop data collection and ingestion solutions using Snowflake, EventHub, and Kafka, focusing on Adobe data solutions and integrations with various marketing platforms. Strong experience in data engineering within the MarTech domain is necessary.

The Senior GIS Analyst will lead and manage GIS projects, providing operational support and spatial data management solutions. Responsibilities include managing GIS architecture, technical expertise, project coordination, and staff management. The role involves integrating GIS with other technologies and developing software standards, along with mentoring and training users.

As a Senior Data Scientist at Coinbase, you'll analyze complex business problems, guide data metrics, and manage data visualizations. You'll also conduct rigorous experiments, collaborate with cross-functional teams to influence product decisions, and drive impactful projects in the evolving crypto landscape.

The Database Engineer at sFOX will design, build, and maintain high-volume RDBMS systems for real-time trading applications. The role involves collaborating with software engineers, resolving complex database issues, and enhancing data management standards. Strong knowledge of MySQL and experience in transaction-heavy systems are crucial.

Looking for a Senior Oracle Database Administrator with Oracle Goldengate 21c Microservices experience to deploy and maintain database clusters, automate tasks, optimize code, and participate in on-call rotation. Must have experience in Oracle 12c/19c, Data Guard, performance tuning, and PL/SQL programming.

In this role, you will lead the development of AWS-based data pipelines and analytics, manage infrastructure-as-code, optimize databases, and support data-driven decisions across Dwolla's API platform, leveraging your skills in DataOps and cloud technologies.