Top Senior Analysis Reporting Jobs in Raleigh, NC

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.

Design, build, and maintain BI-ready datasets, dashboards, and monitoring tools for high-throughput lab operations. Implement process monitoring (SPC), ensure data quality and audit readiness, perform root-cause analysis, and partner with Data Science to deploy predictive models that improve throughput, quality, and compliance.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.

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.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

As a Senior Data Engineer, you will implement data ingestion patterns, build pipelines in Azure, and enhance development with AI tools, aiding the migration to a cloud-based architecture.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Lead database development and administration for a Medicaid payment system: design and secure SQL Server databases, develop T-SQL and stored procedures, build/manage SSIS ETL packages and SSRS reports, perform backup/recovery, encryption/TDE, log shipping, performance tuning, and collaborate with .NET developers and stakeholders on deployments.

Design, build, and operate Hadoop-based big data solutions. Work with HDFS architecture, Hive (queries, UDFs, ORC/Avro/Parquet), Sqoop, Spark, Oozie, and Cloudera distributions. Implement data warehousing processes (deduplication, cleansing, lookups, transformations, versioning) and collaborate on monitoring and operational tasks. Java/Python/Perl programming required.

Design, implement, and operate Hadoop/HDFS architectures and data processing pipelines using Hive, Spark, Sqoop, Oozie. Perform data warehousing tasks (deduplication, cleansing, transformations, versioning). Monitor and operate HDFS distributions (preferably Cloudera) and optionally integrate Flume/Kafka. Develop Hive queries, UDFs, and work with ORC/Avro/Parquet file formats. Mentor and collaborate across teams.

Design and implement Hadoop-based data solutions: HDFS architecture, Hive queries and file formats, Sqoop/Spark jobs, Oozie workflows, data warehousing transformations, and lead medium-to-large teams while interfacing with business users.