Top Remote Data & Analytics Jobs in Orlando, FL

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Lead reporting, analysis, automation, and QA for revenue cycle analytics. Build Power BI and Excel reports, design data models, automate workflows with SQL/Python, integrate AI agents, validate data integrity, and deliver actionable insights to leadership and operations.

As an Interface Specialist II, you will develop and optimize automated processes, support integrations, manage projects, and collaborate on process improvements.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

Design and implement AWS-based data architectures and lakehouse solutions, lead data engineering teams, build ETL and real-time pipelines (Kafka/Kinesis), use DBT and Airbyte for ingestion and transformation, orchestrate workflows with Airflow/MWAA, enforce security/compliance, and guide infra automation with Terraform/CloudFormation and CI/CD.

Design, develop, and maintain Snowflake data platforms including schemas, tables, views, streams, tasks, and stored procedures. Optimize SQL and warehouses for performance and cost, implement ingestion/automation (Snowpipe, Streams, Tasks), manage security/RBAC, integrate with cloud and BI tools, leverage Snowflake AI features, troubleshoot production issues, and collaborate with data teams to deliver scalable solutions.

Lead end-to-end migration of VA legacy contract and acquisition records into Appian, overseeing extraction, ETL design, mapping, validation, cutover planning, provenance preservation, and post-migration monitoring. Coordinate with SMEs, architects, and Financial Systems leads, run migration rehearsals, and produce documentation and knowledge transfer for O&M sustainment.

Design, develop, and deliver analytics and BI products on Palantir Foundry integrating Appian and VA financial systems. Build dashboards, data models, and data quality monitoring; translate stakeholder requirements into KPIs and visualizations; support pipeline design, documentation, and training for VA acquisition and financial analytics.

Design, build, and optimize end-to-end ETL/ELT pipelines using Python and PySpark for large structured and unstructured datasets. Ensure data quality through validation and reconciliation, troubleshoot performance issues, implement CI/CD and code review practices, and collaborate with IT and business stakeholders to translate requirements into scalable data solutions.

Lead global data governance strategy and operating model, establish enterprise data management/MDM and data certification practices, build and lead the global governance function and steward program, drive change management and adoption across business lines, partner with cross-functional teams to resolve data risks and embed governance into workflows, and deliver measurable outcomes against the governance roadmap.

Design, develop, and automate business applications and reporting using Microsoft Power Platform. Build Power Apps, Power Automate flows, SharePoint/Dataverse integrations, and Power BI dashboards to support financial reporting, audit readiness, and process improvements. Collaborate with stakeholders to translate requirements, maintain documentation, troubleshoot issues, and support deployments and production reliability.

Part-time contractor responsible for database maintenance, advanced Excel data manipulation and reporting, CRM management, KPI development, data visualization, and consulting with executives to improve processes and present findings.

Lead enterprise analytics strategy and execution, build scalable self-service BI and dashboards, manage complex analytics projects, partner with cross-functional stakeholders, perform advanced analyses as subject-matter expert, and drive AI-enhanced analytics adoption to inform strategic decision-making.

Lead product measurement and analytics as a Staff-level IC: define KPI frameworks, generate proactive insights, shape product strategy, improve data foundations, and build AI-enabled analytics workflows while mentoring analysts and influencing senior product leaders.