Top Remote Analysis Reporting Jobs in Orlando, FL

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Lead and manage a QA team focused on data and reporting quality. Develop QA strategies, test plans, and automated scripts for ETL, data pipelines, and BI reports. Validate dashboards (Tableau/Power BI), Snowflake queries, APIs, and data models. Collaborate with data engineers, developers, and stakeholders to identify and remediate issues, and report quality metrics.

Analyze and integrate project data to produce dashboards, reports, and visualizations (PowerBI). Automate workflows with Python/R, maintain data integrity across PMIS, extract data with SQL, and present actionable insights to stakeholders and clients.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Lead and optimize risk adjustment data submissions (CMS, HCCs, HEDIS), develop and maintain reporting, validate data integrity, oversee vendors, support audits (RADV), mentor analysts, and recommend process improvements to maximize risk scores and quality payments.

Lead and manage a small team to intake, frame, prioritize, and hand off data initiatives. Translate business needs into solution blueprints, ensure alignment with architecture and governance, define KPIs, track ROI, and drive stakeholder alignment across Claims, Finance, Marketing, and Operations.

Translate marketing requirements into scalable, identity-aware audiences in Segment. Build and govern audiences, manage data ingestion and identity resolution, monitor data quality and platform health, configure Unify and destination activations, enforce SOPs and governance, collaborate with Marketing/Data/Engineering, and train stakeholders to drive lifecycle marketing and activation.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

The Central Risk Manager is responsible for developing and implementing strategies for Risk-Based Quality Management and Monitoring across clinical trials, collaborating with stakeholders, and leveraging data analytics for risk identification and mitigation.