Top Remote Senior Level Data & Analytics Jobs in Tampa Bay, FL

The Senior DataOps Engineer oversees data management and storage systems, ensuring timely access to secure and accurate data, improving data workflow automation, and collaborating with teams to meet business needs.

The Senior Consultant will lead the design and implementation of data solutions using Microsoft Fabric, Power BI, and Databricks to enhance analytics capabilities for clients. They will engage with stakeholders to define data strategies and deliver high-quality consulting services across multiple projects.

The Revenue Analytics Lead drives data analytics and modeling for revenue operations, overseeing GTM performance metrics, predictive modeling, and data governance while utilizing AI for operational efficiency.

The Data Strategist will manage M&A integration by creating financial models, prioritizing data requests, and collaborating cross-functionally to optimize data value and operational efficiency.

Lead the architectural direction of Seer's data platform, mentor engineers, optimize data processes, and integrate AI solutions to enhance data-driven decision-making.

The Manager of Solutions Engineering will lead a team of Solutions Engineers, focusing on customer engagement, technical demonstrations, and mentoring while enhancing POC success.

The Senior Statistical Programmer will generate and validate statistical programming deliverables, perform data analysis, and lead programming activities for clinical trials, particularly in Early Development studies.

The Salesforce Technical Lead will oversee the Salesforce instance, leading a team in software development and ensuring high-quality solutions aligned with organizational goals. Responsibilities include staff management, technical leadership, and collaboration with IT Product Managers to develop business solutions.

The Manager of Analytics oversees a team to deliver impactful analytics and insights, supports business decisions, and integrates AI applications in analytics. They also manage testing portfolios and develop actionable insights for marketing strategies.

Responsible for designing and maintaining data infrastructure, developing data pipelines, ensuring data quality, and collaborating with various teams to enhance data utility. Also involves communication with stakeholders and innovative solutions for business success.