Top Data & Analytics Jobs in Palm Bay-Melbourne-Titusville,

The Senior DBA is responsible for maintaining high availability and performance of database systems, managing cloud-based services, and enhancing database infrastructures for scalability. They monitor existing setups, collaborate on security measures and ensure efficient operational practices for a growing user base.

As a BI Analyst at Sporty, you’ll analyze large datasets, create dashboards, and deliver insights that inform business decisions and strategies. You'll manage reporting infrastructure, handle ETL processes, and provide ad hoc analysis while ensuring data stability and accuracy for stakeholders.

Lead and manage a team of data engineers to maintain and grow Valo Health's data engineering platform. Collaborate with multi-functional teams to support drug discovery efforts by driving the evolution of the data platform, ensuring scalability, and promoting best practices in data management and governance.

The Sr. Cyber Analyst role involves delivering incident investigation and response services, including the collection and analysis of digital evidence, identifying root causes of incidents, participating in recovery activities, and providing training and recommendations to mitigate future risks.

As a Data Scientist at Oscar, you will create and maintain data pipelines, enhance modeling efforts, and develop analytics to improve healthcare processes. Collaborating with business teams, you'll support data integrity and help improve risk adjustment strategies.

The Senior Product Test Analyst will leverage mechanical engineering and biomechanics expertise to lead research and testing initiatives aimed at innovating NIKE footwear. Responsibilities include managing testing programs, conducting biomechanical research, developing prototypes, and ensuring compliance with testing standards. The role also involves creating inclusive research plans and analyzing results to drive product innovation.

The Staff Data Analyst will lead data analysis initiatives to derive insights, mentor team members, and enhance data reporting infrastructure. Responsibilities include implementing analytics solutions, collaborating with various departments, using statistical modeling, and creating actionable business insights through data visualization and reporting.

The Operations and Fraud Analytics Lead will utilize advanced analytics to enhance business operations, develop fraud prevention strategies, and optimize profitability, collaborating with various departments to address complex business challenges and improve operational efficiency.

As a Lead Credit Risk Analyst, you'll leverage advanced analytics to assess and manage credit risk, develop strategies to optimize lending products, and collaborate with teams to enhance decision-making processes. You will also be responsible for analyzing financial data, creating models, and reporting findings to improve credit access and reduce risks.