Top Senior Data & Analytics Jobs in Raleigh, NC

The Senior Manager of Data Engineering will lead a team, manage data platforms, drive modernization, oversee budgets, and ensure data solutions are scalable and reliable.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

Lead development and improvement of quality systems in manufacturing and lab operations; oversee data integrity, validation, and quality relationships with suppliers.

Lead governance of provider data, attribution, and member assignment for Medicaid operations. Ensure data quality, audit readiness, defect remediation, cross‑functional coordination, and reporting to support compliance, provider accountability, and operational reliability.

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.

The QA Specialist II ensures compliance through reviewing and approving GMP data, method qualifications, validations, and laboratory investigations in biopharmaceutical development.

The Business Intelligence Analyst will lead data analysis efforts, create actionable insights, drive business processes optimization, and enhance data literacy within cross-functional teams in the organization.

The R Programmer prepares clinical trial data, performs PK/PD analysis, creates visualizations, ensures CDISC compliance, and validates programming outputs.

Design, deploy, and maintain batch and streaming data pipelines and datasets across cloud data lakes (AWS, Redshift, Starburst, Snowflake). Integrate disparate sources into Red Hat's Customer Data Platform, support audience segmentation, collaborate with sales/marketing, and consult on CX KPIs.