Top Data & Analytics Jobs in Charleston, SC

The Senior Technology Support Consultant will analyze large datasets, develop reports and dashboards, and collaborate with teams to improve technology use and data integrity.

Conduct data analysis to improve user experience on websites, utilizing Google Analytics and Shopify for insights and A/B testing.

Lead design and delivery of end-to-end Data & AI solutions on Microsoft Azure. Architect AI/ML applications and scalable data platforms, implement data pipelines, integrate models with business workflows, provide technical leadership on projects, support presales, and promote reusable assets and best practices while staying current on emerging AI and Azure technologies.

The Senior SEO Data Analyst will analyze SEO performance data, identify trends, provide insights for product strategy, and support data quality improvements across teams.

The Specialist will analyze user needs, define business requirements, document processes, and support technology solutions in the Property and Casualty insurance sector, emphasizing customer-focused outcomes and team collaboration.

The Sr State Product Analyst provides analytical support for strategic goals, analyzes performance data, and implements processes for financial planning and market development.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Staff Advanced Analyst will drive data analytics to improve CS Safety experiences, influence product decisions, and build measurement tools using data-driven insights.

The Senior Revenue Strategy & Planning Analyst will focus on planning, forecasting, compensation modeling, quota setting, and capacity planning to align with business growth objectives. They will analyze performance trends and support revenue operations initiatives across Sales and Customer Success teams.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.