Top Senior Level Data & Analytics Jobs in Orlando, FL

As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.

As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.

As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.

The Senior GRC Analyst will oversee security compliance initiatives, conduct risk assessments, manage security documentation, audit 3rd party vendors, and support external audits. Strong communication skills and the ability to collaborate with cross-functional teams are essential.

The Sr. GRC Analyst will support and mature the Governance, Risk, and Compliance program at Prosper, executing security compliance initiatives, conducting assessments and audits, managing documentation, leading external audit evidence collection, and fostering stakeholder collaboration. This role requires high attention to detail and a strong understanding of risk in a technology-focused environment.

The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.

As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.