Top Analysis Reporting Jobs in Tampa, FL

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

The Platform Engineer, ClickHouse administers and secures ClickHouse clusters, manages Kafka ingestion, integrates with AWS, and ensures CI/CD practices. Responsibilities include schema management, access control, and cluster health monitoring.

Lead governance and optimization of speech analytics and Qualtrics CX capabilities, integrate survey, speech, and operational data, deliver actionable customer insight narratives, analyze end-to-end journeys to identify friction and drive cross-functional initiatives to improve customer experience and reduce expense.

As an Actuarial Analyst I, apply actuarial methodologies to projects, analyze data, communicate insights, and support business needs while ensuring compliance and quality.

Design and maintain data pipelines and infrastructure, develop ETL processes, collaborate with stakeholders to integrate data, and optimize database performance.

As a Business Analysis Senior Associate, you will analyze data capabilities, document requirements, and support agile squads in delivering data solutions.

The Business Analysis Senior Associate will gather requirements, support Agile product development, manage projects, and facilitate stakeholder collaboration to enhance client experience.

Analyze and design geospatial databases and mapping products for UAS/sUAS operations, conduct terrain and operational analyses, and collaborate with engineers and analysts to meet mission objectives.

Lead end-to-end delivery of data platform engagements: design and implement scalable ingestion and transformation pipelines, write and review production code (Python/SQL/Scala/Spark), architect cloud environments, advise clients, manage and mentor teams, and support practice development and business development activities.

Lead enterprise data platform architecture and technical strategy. Define standards, design and implement Python-based distributed systems and large-scale data pipelines, optimize Oracle databases, build CI/CD (Jenkins) and Kubernetes-based platforms, mentor engineering teams, and drive cross-functional initiatives in cloud, observability, reliability, and data governance.

Design and analyze complex logical data models, map data flows between systems and business functions, resolve information flow issues, reduce redundancy, translate business requirements into relational models, contribute to projects of varying complexity, and mentor junior technical staff.

Design and govern enterprise data architecture, optimize DBMS performance and recovery/load strategies, lead database design for enterprise systems, conduct data analysis and access design, and mentor junior staff while serving as project SME.