Top Data & Analytics Jobs in Tampa Bay, FL

The Operational Risk Analyst will assist in identifying, assessing, and mitigating operational risks within the organization. Responsibilities include coordinating risk activities, conducting risk assessments, preparing governance reports, and maintaining relationships with stakeholders.

The Credit Analyst 2 will assist Portfolio Managers and Credit Officers in commercial lending and credit risk by analyzing financial statements, evaluating loan requests, and preparing periodic reviews of existing relationships. Key responsibilities include ensuring compliance with financial covenants and managing due diligence reports.

The Senior Data Scientist will perform data analytics using structured and unstructured data, develop metrics and reports into BI dashboards, and work closely with stakeholders to design data-driven solutions. They will also manage ongoing processes, ensure compliance, and collaborate across various functions to enhance analytics delivery infrastructure.

The Principal Data Privacy Consultant will assess compliance with data privacy regulations, develop privacy policies and documentation, conduct gap and maturity assessments, and provide advisory services to clients. This role involves mentoring colleagues and contributing to the growth of the data privacy consulting practice.

As a Data Scientist on the Growth team at Wave, you will design, run, and analyze experiments to enhance product features and customer experiences. The role involves working closely with operations and product teams to generate insights from data, applying statistical modeling and machine learning, and communicating findings to stakeholders.

As a Senior Data Scientist in Computational Biology, you will integrate and analyze omics data, ensure data quality through bioinformatics pipelines, conduct biological analyses to support drug discovery, and communicate results effectively across various teams. You will contribute to target identification and validation, collaborating with multi-disciplinary experts in the field.

The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.

Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.

The Lead Database Engineer will design, implement, and maintain critical PostgreSQL database systems for a 24x7 SaaS platform, ensure database operations support business needs, mentor team members, and comply with HIPAA policies.