Top Senior Level Analytics Jobs in Orlando, FL

The Application Systems Analyst aids businesses in achieving their goals by evaluating, designing, and developing full stack application systems. Responsibilities include developing applications on FileMaker, consulting with management, creating application specifications, overseeing implementation, diagnosing errors, and managing reported incidents.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

The Investigative Support Analyst provides support for criminal and civil investigations by analyzing business records, tracing illegal activity proceeds, and presenting findings in reports. Responsibilities include data mining, preparing detailed reports, assisting Postal Inspectors, and ensuring completion of tasks within set timeframes.

The Workday Lead Analyst will design, develop, and maintain Workday integrations and reports, support HR and Finance functions, and ensure the smooth operation of Workday systems. Responsibilities include system maintenance, report development, user training, and participation in project management.

The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.

The User Acceptance Testing Analyst is responsible for performing UAT for system upgrades and releases. This role involves creating and reviewing test cases, developing testing strategies, and maintaining documentation. The analyst will conduct defect tracking, manage test data, and establish relationships with business partners while identifying risks and improving the UAT process.

As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.