Top Remote Data & Analytics 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.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

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.

Lead and grow a data engineering team to design, build, and operate scalable ETL/ELT pipelines and cloud data platforms. Own delivery across client implementations and internal programs, ensure data quality, governance, and compliance (PHI/PII), provide technical architecture oversight, stakeholder collaboration, and continuous improvement.

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.