Top Remote Analysis Reporting Jobs in Greensboro, NC

Maintains global services pricing data by executing price changes and service mappings, auditing data integrity, resolving discrepancies, and translating business requirements into actionable insights. Partners with product, finance, and other stakeholders, supports competitive benchmarking, and develops repeatable processes to improve pricing operations and scalability.

Own board-grade analytics deliverables for client engagements by transforming Salesforce pipeline data and BI outputs into executive narratives, presentations, and reusable reporting templates. Analyze pipeline, funnel, and revenue performance; explain variance; write causal commentary; present findings to PE sponsors and executives; and train client teams to maintain deliverables independently.

Own enterprise data governance, metadata, lineage, data quality, master data, GxP readiness, cloud data-layer standards, commercial data controls, partner data exchanges, and AI data governance. Lead federated stewardship, executive scorecards, architecture reviews, access models, vendor data governance, and regulatory readiness across clinical, commercial, and corporate data. Partner with Security, Legal, Privacy, Compliance, and QA while building accountable business ownership and trustworthy, rapidly accessible data.

Build and maintain modern data-centric applications, pipelines, transformations, enrichment processes, provisioning layers, and user interfaces supporting clinical and operational healthcare processes. Analyze clinical data and report trends using cloud, big data, data science, and modern software development practices. Collaborate with Product, Platform, and Architecture teams, mentor Data Engineers, document solutions, manage source control, and research emerging technologies.

Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.

Responsible for administering, securing, tuning, migrating, and maintaining relational and non-relational databases across internal systems and client environments. The role includes capacity planning, backup and recovery, SQL optimization, performance monitoring, cloud database management, data pipeline maintenance, and troubleshooting. The administrator serves as a data management subject matter expert, supports deployment projects, recommends system improvements, presents metrics, and collaborates with development, managed services, partners, and customers.

Design, develop, and maintain Customer Data Platform solutions and data pipelines to create unified customer profiles, manage identity resolution, enable audience segmentation and activation, ensure data quality and governance, and support integrations with marketing, CRM, and cloud data systems.

Build and maintain full-stack data engineering solutions supporting BioIntelliSense’s remote patient monitoring and clinical intelligence platform. The role likely involves processing health-monitoring data, enabling analytics, and supporting reporting for clinicians, patients, and employers. Specific responsibilities and qualifications are not provided in the description.

Designs, builds, and maintains scalable data pipelines, workflows, analytics solutions, and AI/ML capabilities within Palantir Foundry. Models enterprise data using Foundry Ontology, manages data assets and governance, integrates analytics tools, troubleshoots platform issues, and translates stakeholder requirements into maintainable solutions. The role also supports FAA users through documentation, training, collaboration, and ongoing platform enhancement.

Designs and scales cloud-native data platforms and ingestion pipelines using AWS, Databricks, and Spark. Builds APIs, file-upload mechanisms, ETL/ELT workflows, and Lakehouse architectures; supports SQL Server data loading and legacy C# .NET processes. Partners with analytics, software engineering, architecture, and product teams to ensure data quality and availability for reporting and machine learning. Troubleshoots pipelines and applies governance, security, compliance, documentation, and reliability best practices.