Top Remote Analysis Reporting Jobs in Tampa, FL

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

The Data Engineer will help build modern data infrastructure, designing ETL pipelines, modeling datasets, and collaborating with teams for improved data quality and accessibility.

The Manager, Data Success Management oversees Data Success Managers, manages data operations, supports partners, improves workflows, and ensures data quality.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

Seeking a SQL DBA / Systems Analyst to manage Electronic Stored Information processes, upgrade litigation support tools, and administer databases for a Federal agency.

Designs and delivers actionable insurance analytics and reporting to reduce clients' cost of risk. Mentors analysts, produces claim analytics and dashboards, researches trends, supports vendor tools, presents findings to clients and underwriters, and contributes to analytics strategy and business development.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

The IMINT Analyst Expert will analyze satellite data, collaborate with GEOINT analysts, and apply expertise in military intelligence analysis. Responsibilities include managing GEOINT processes and presenting findings.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.