Top Remote Business Intelligence Jobs in Tampa Bay, FL

The IT Risk Analyst at Brilliant Earth ensures SOX compliance by developing IT General Controls, conducting risk assessments, managing internal controls, and improving the SOX program. The role involves collaboration with IT, security, and compliance teams, risk management, and communication of compliance findings to leadership.

The Senior Product Owner serves as the customer proxy within Agile teams, prioritizing backlogs and ensuring user stories align with business values. They monitor metrics, facilitate Scrum ceremonies, and enhance team collaboration to deliver high-quality solutions in the insurance industry.

The IT Corporate Technology Business Analyst focuses on supporting and troubleshooting Zuora Billing software. Responsibilities include analyzing issues, documenting solutions, conducting system testing, and collaborating with project managers and ERP teams to ensure smooth operations and integration with other systems like SAP.

As a Business Intelligence Engineer, you will work with stakeholders to understand reporting needs, optimize existing reports, ensure data quality, and perform data analysis to support decision-making. You will leverage your expertise in healthcare data and BI tools to enhance insights and contribute to the company's mission of improving healthcare outcomes.

The Real-Time Cloud Data Integration Engineer will design and develop real-time data integration solutions, ensuring data integrity and efficient processes. Responsibilities include working with cloud technologies, analyzing and troubleshooting SQL queries, collaborating with stakeholders, and maintaining existing data integration tools.

As a Data Insights Specialist, you'll analyze marketing data and site analytics to deliver actionable insights. Responsibilities include building reports and dashboards, troubleshooting data configurations, and collaborating with stakeholders to ensure effective data practices. You'll also perform SQL queries for marketing support and provide operational monitoring to prevent data issues.

The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.