Top Data & Analytics Jobs in Raleigh, NC

Design, build, and operate end-to-end ELT data pipelines on Azure/Databricks. Implement DLT data quality checks, CDC, schema evolution, dimensional models for Power BI, monitoring, CI/CD, and operational runbooks while partnering with architects and BI stakeholders.

Partner with senior leaders across Marketing, Sales, Product, and CX to analyze data, identify opportunities, build dashboards, run experiments, and deliver data-driven recommendations that drive business growth and operational improvements.

Lead onboarding, mapping, and validation for a Customer Data Hub: write user stories and acceptance criteria, define mastering/transformation logic, perform data lineage and reconciliation, validate integrations and outcomes, support production incidents, create runbooks and documentation, and partner with product, engineering, QA, and governance teams to enable reliable customer data for applications and analytics.

Design, build, test and maintain scalable BI solutions. Partner with business stakeholders to gather requirements, produce overall solution design, perform root cause analysis, and optimize performance for complex healthcare business processes.

The Enterprise Architect will lead the data architecture function for Data Management, ensuring governance and best practices across data delivery while collaborating with stakeholders to achieve data-driven objectives.

Provide BD-driven market and competitor research for the US practice; synthesize platform content into actionable outputs for attorneys; leverage agentic AI for targeted research; build stakeholder relationships; monitor market, regulatory and political developments; support client targeting and business development projects.

Looking for a Techno-Functional Consultant with at least 8 years of MDM experience and 3 years in MDG, with hands-on experience in implementations.

The Business Data Analyst role focuses on analyzing retail POS, inventory, and sales data to identify trends and drive actionable insights for sales and account management, with a strong emphasis on collaboration and communication with various teams.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

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.