Top Senior Data & Analytics Jobs in Tampa, FL

The Senior Data Scientist will lead care gap analyses and HCP segmentation strategies using real-world data, mentor team members, and communicate insights to support medical affairs.

The Customer Value Manager drives ROI analysis, builds business cases, partners with teams, and ensures customer satisfaction throughout the lifecycle.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

The Senior Geospatial Analyst performs GEOINT analysis and reporting, utilizes various geospatial technologies, and coordinates with industry counterparts for geospatial intelligence projects.

The Lead Data Engineer will design, develop, and maintain data pipelines, optimizing data systems and automating processes within a collaborative team environment.

Responsible for engineering data protection solutions, conducting data discovery and analysis, masking PII, and supporting data governance initiatives.

The Senior Data Analyst collaborates with business units on data strategy, conducts lifecycle activities, interprets data, and identifies improvements, while also leading small projects.

The Senior Solutions Architect is responsible for analyzing system architecture, creating IT designs, mentoring junior members, ensuring compliance, and translating business problems into technical solutions.

The Master and Reference Data Sr. Lead Analyst oversees data quality and governance, collaborates with various departments, and manages Reference Data platforms and strategies.

The role involves sourcing, analyzing, and managing data, developing business intelligence dashboards, ensuring data governance, and collaborating with stakeholders.

The Data Engineer at Booz Allen will design, develop, and maintain data applications and pipelines while mentoring a multidisciplinary team to derive insights from complex data systems.

The Data Engineer will manage data discovery and classification efforts, deploying technologies like BigID to create a Global Data Inventory and ensure visibility of sensitive data across hybrid environments.

The Data Modelling role requires expertise in data modeling tools, extensive consulting experience, and strong analytical skills, particularly in the finance domain.