Top Senior Analysis Reporting Jobs in Greensboro, NC

Develop and execute a rare disease data strategy for the U.S. Commercial organization. Translate business priorities into data roadmaps, establish governance and metadata standards, coordinate data sourcing and vendor evaluations, manage delivery risks and dependencies, drive adoption of new ways of working, and report progress to senior stakeholders. Ensure data strategy activities align with privacy policies and regulations while optimizing data assets, products, and lifecycle management.

Performs advanced data extraction, statistical analysis, modeling, forecasting, and visualization using enterprise data sources. Builds and maintains Power BI dashboards and Snowflake data models, supports data governance and regulatory reporting, and translates business needs into actionable insights. Serves as a trusted analytics consultant, leads reporting and analysis projects, presents findings to technical and non-technical stakeholders, and improves reporting through automation and standardized methodologies.

Leads healthcare data architecture, modeling, normalization, transformation, and integration across FHIR, OMOP, STDM, HL7, and related standards. Oversees data pipelines, terminology mapping, deduplication, quality initiatives, interoperability strategies, and technical documentation. Collaborates across technical and non-technical teams to resolve complex data issues and explore AI and machine learning applications. Requires deep expertise in clinical informatics, healthcare data standards, SQL, Python, R, dbt, ETL, cloud platforms, and version control.

Design, build, and operate production data pipelines using Python, Spark SQL, and Airflow. Canonicalize healthcare and customer data into trusted internal models, optimize distributed processing, enforce schemas, and implement quality checks and observability. Support customer onboarding, streaming pipelines, troubleshooting, on-call operations, and platform best practices while collaborating with product, analytics, engineering, data science, and customer teams.

Leads Point C’s enterprise analytics strategy, data platforms, governance, reporting, and insights delivery. Builds trusted analytics for brokers, employers, sales, operations, finance, and clinical teams; oversees data integration, quality, standardization, and acquisition-related analytics. Develops a scalable agile analytics organization and aligns roadmaps, metrics, and delivery standards with business growth and executive decision-making.

Administer and optimize production and non-production databases for a large-scale VA data migration. Responsibilities include installation, patching, performance tuning, backup and recovery, security, AWS database provisioning, data conversion, validation, troubleshooting, high availability, disaster recovery, and technical documentation. The role collaborates with developers and analysts across on-premises and AWS environments while ensuring database availability, integrity, and security.

Design, build, and own business-critical data infrastructure, including AWS Glue and Spark pipelines, cloud warehouse or lakehouse systems, orchestration, and Tableau BI platforms. Define event-driven contracts, data models, schemas, observability, and batch or streaming architectures across multi-tenant, multi-region environments. Collaborate across producer and consumer teams while owning production data infrastructure and outcomes end to end.

Manages the daily operations and maturation of a federated enterprise data governance program. Leads governance councils and stewardship groups, defines roles, develops policies and guidance, drives stakeholder adoption and training, and advances data quality, metadata, lineage, and issue resolution practices. Partners with legal, privacy, security, compliance, business, technical, and external stakeholders while maintaining governance documentation, monitoring program performance, and coordinating approvals and improvements.

Lead a BI engineering team, overseeing dashboards, data models, SQL/dbt transformations, ETL pipelines, Airflow DAGs, data warehouses, CI/CD, governance, and quality standards. Partner with stakeholders to define reporting requirements, conduct advanced analyses, manage Agile projects, and develop data strategy. Mentor team members and support production deployments. This fully remote role requires travel to Denver for five business days each quarter.

Analyze and model property catastrophe reinsurance treaties using catastrophe modeling platforms. Prepare and validate exposure data, execute models, interpret risk metrics, develop scenarios, and identify portfolio risk drivers. Support underwriting, actuarial pricing, placement, renewals, and management decisions through clear reporting. Participate in model validation, calibration, research, and development while collaborating with underwriters, actuaries, and other stakeholders.