Top Senior Analysis Reporting Jobs in Raleigh, NC

Analyze reinsurance data and business processes, gather requirements, create data mappings and flow diagrams, and support FAIRR Data Hub solutions. The role validates data quality, governance, reconciliation, and technical specifications while partnering with business, technology, architecture, engineering, and governance teams. It also contributes to reporting, AI-enabled analytics, solution testing, stakeholder communication, and mentoring junior analysts.

Leads enterprise healthcare data engineering strategy, cloud data platform modernization, warehouse and lakehouse architecture, ETL/ELT pipelines, streaming, interoperability, governance, data quality, and master data management. Manages data engineering, analytics, and platform teams while supporting AI/ML initiatives. Requires extensive healthcare data experience, leadership of large programs, cloud and data engineering expertise, knowledge of claims and clinical systems, and familiarity with HL7, FHIR, EHR platforms, and healthcare compliance.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Designs, develops, integrates, and supports modern data solutions for healthcare claims, revenue, Medicare, and payer data. The role includes on-premises data warehousing, cloud migrations, SQL and Python/PySpark development, dimensional modeling, troubleshooting, performance optimization, and process improvement. The engineer collaborates with engineering, analytics, data science, and product teams in an agile environment.

Designs, develops, and implements modern data solutions for healthcare claims, revenue, Medicare, and payer data. Responsibilities include building and supporting on-premise and cloud data warehouses, migrating workloads to the cloud, dimensional modeling, schema design, troubleshooting, performance improvement, and coding with SQL, Python, and PySpark. The role collaborates with engineering, analytics, data science, and product teams.

Leads architecture, development, and delivery of complex data engineering and financial planning applications. Oversees Java REST APIs, Angular front ends, cloud-based AWS solutions, microservices, monitoring, CI/CD, technical strategy, risk mitigation, and multiple engineering teams. Partners with product, compliance, architecture, and business stakeholders to prioritize work, resolve technical challenges, improve engineering practices, and guide organization-wide technology initiatives.

Leads enterprise data visualization strategy, architecture, governance, and development standards. Designs scalable Tableau-based analytics solutions, analyzes complex business problems, supports project delivery, and provides technical guidance to visualization users. Mentors junior staff, facilitates cross-functional problem solving, and advises leadership on data visualization decisions. Requires healthcare claims processing and Facets expertise, CMS Guidelines knowledge, and familiarity with fraud, waste, and abuse trends.

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.

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.