Top Senior Analysis Reporting Jobs in Raleigh, NC

Designs, develops, and governs enterprise ontologies and semantic models for knowledge graphs and AI applications. Translates scientific and business concepts into scalable knowledge structures, mappings, taxonomies, and controlled vocabularies. Establishes ontology quality, lifecycle, provenance, versioning, and change-management practices. Partners with scientific, product, data, AI, and engineering stakeholders to improve semantic search, content discovery, RAG, knowledge grounding, recommendations, and data interoperability.

Administer and optimize Oracle application databases while developing data models, warehouses, ETL pipelines, and analytics solutions across Oracle and Snowflake. Build scalable Python and SQL workflows, support Oracle Analytics Server, manage MongoDB use cases, automate monitoring, and implement CI/CD. Ensure data quality, governance, security, high availability, disaster recovery, and performance across enterprise data platforms.

Supports PMIS and BI implementations for infrastructure and capital programs. Gathers requirements, configures project controls workflows, develops dashboards and reports, manages data integrations and governance, documents procedures, trains users, and provides system support. The role translates business and project requirements into scalable technology and analytics solutions using PMIS platforms, SQL, ETL, data warehouses, Power BI, Tableau, and related tools.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.

Build scalable production-grade ETL/ELT pipelines on Databricks using PySpark, Spark SQL, Delta Lake, Delta Live Tables, and Workflows. Develop data ingestion, transformations, quality rules, orchestration, monitoring, and automation across Bronze, Silver, and Gold layers. Apply dimensional data modeling, streaming, cloud platforms, CI/CD, governance, security, performance tuning, and lakehouse architecture. Explain technical concepts and architecture decisions using real project examples.

Leads a team delivering enterprise data products using Snowflake, dbt, SQL, and Azure. Designs transformation and dimensional modeling layers, establishes engineering and quality standards, embeds testing into CI/CD, optimizes Snowflake performance and costs, and applies governed AI-assisted development. Manages delivery priorities, partners across data and business teams, hires and develops employees, and ensures auditability, governance, and SOX compliance in a regulated banking environment.

Leads Labcorp’s global Strategic Growth Analytics function, setting its vision, roadmap, and operating model. Advises executives using customer, market, commercial, competitive, and digital intelligence to drive growth and business performance. Oversees analytics and AI-enabled decision-support capabilities, partners with technology and data teams, translates complex findings into recommendations, and manages a high-performing global team. The role also develops talent, aligns stakeholders across a matrixed organization, and oversees external analytics partners and vendors.

Provide timely, accurate royalty and content analytics and financial reporting to support business decisions. Analyze large datasets to identify trends, anomalies, and allocation impacts; support monthly royalty reconciliation; design and automate reporting and data structures; respond to licensing and royalty inquiries; prepare analytical materials for commercial and content planning; and drive process improvements to ensure reporting integrity and operational effectiveness.

Support end-to-end data warehouse lifecycle: gather requirements, design systems and ETL (Teradata), develop, tune performance, document for SOX, provide production support and occasional on-call pager rotation.