Top Data & Analytics Jobs in Charlotte, NC

The Business Insights & Planning Analyst III coordinates mergers and acquisition efforts, business planning, and work product development, while managing due diligence and supporting various teams in the business development process.

The Sr. Data Engineer will design and maintain databases, develop ETL pipelines, and ensure data integrity for Hologram's IoT network, enabling insights and decision-making.

This role involves leading workforce analytics initiatives, delivering insights on headcount, compensation, and workforce planning, while utilizing AI tools and visual analytics platforms to support decision-making processes across various HR functions.

As a Gen AI Intern, you will develop Python features for the ArangoDB ML Platform and evaluate innovations in Python, while engaging with the community through talks and webinars.

The Data Engineer develops and maintains data pipelines, collaborates with teams to optimize data architecture, and ensures data quality and accessibility.

The Data Manager I manages claims and encounter data within a Microsoft SQL Server environment, focusing on ETL, data integrity, compliance, and quality improvement in healthcare analytics.

The Analyst I will contribute to healthcare data projects, supporting research design, conducting statistical analyses, and presenting findings to stakeholders.

The Analytics Coordinator III coordinates healthcare analytic projects, managing tasks from implementation to reporting while enhancing healthcare quality. Responsibilities include project management, document preparation, research, and communication with stakeholders.

The Lead Business Intelligence Engineer implements best practices for data analysis, develops technical solutions, ensures compliance, and leads team mentoring within the healthcare industry.

The Advanced Analytics Manager will lead analytics initiatives, transforming complex datasets into insights, collaborating across departments to inform GTM strategy and revenue planning.

The Data QA Engineer designs and executes test plans for data pipelines and transformations, collaborates with teams to ensure data quality, and utilizes AI techniques for testing automation. They validate business metrics and facilitate cross-team communication.

The Business Analyst will gather and analyze business reporting requirements, translating them into actionable insights, and support dashboard development for better data visibility in a fully remote capacity.