Top Analytics Jobs in Charleston, SC

Owner of data platform modernization: design and migrate legacy systems to Kimball-style dimensional models and star schemas; build reliable production data pipelines; enforce data hygiene and validation; champion dbt best practices; mentor junior engineers; collaborate with analysts and stakeholders to ensure scalable, well-documented data models and platform observability.

Provide geospatial and market intelligence to support leasing, marketing, investments, and development. Maintain geospatial datasets and trade areas, perform location-based analyses integrating internal and third-party data, build maps/dashboards/reports, and apply AI-enabled tools and automation to improve research, reporting, and decision support across the organization.

Design, build, and support SAP Analytics Cloud dashboards, planning models, and executive reporting. Integrate SAC with SAP and non‑SAP sources, develop KPIs and forecasting models, run testing and UAT, troubleshoot issues, and support production deployments and stakeholder workshops to deliver actionable analytics for FP&A and operational teams.

Client-facing Analytics Manager who architects large-scale digital analytics (GA4/Adobe), audits implementations, builds measurement frameworks, and leads GEO (Generative Engine Optimization) test & learn programs. Uses AI tools (Claude) to automate workflows, mentor teammates, manage projects, and translate data into strategic client recommendations.

You will analyze data, support business teams with insights, enhance dashboards, and manage stakeholder relationships to improve operational efficiency.

Partner with business units to scope, analyze, and monitor financial and utilization metrics. Independently execute analytical requests, generate insights, build dashboards and models to identify healthcare inefficiencies, and present findings to non-technical leadership. Own stakeholder relationships and track impact of initiatives.

Partner with business teams to scope, run, and present analytical projects that monitor financial and utilization metrics. Own insights generation for a major business unit, build dashboards and models to surface healthcare inefficiencies, maintain stakeholder relationships, and support strategic projects to drive improvements and measure impact.

Partner with business teams to scope and execute analyses, generate actionable insights from large healthcare datasets, build dashboards and models, present findings to leadership, own stakeholder relationships for a major business unit, and monitor impact of improvement initiatives.

Lead architecture and delivery of a global analytics platform: build pipelines, semantic models, embedded analytics, and client-facing data products. Recruit and mentor analytics engineers, enforce governance, ensure observability and SLAs, and partner with executives and product teams to translate business needs into production-grade analytics solutions.

Design, build, and deliver a global analytics platform: manage data collection and pipelines, develop visualizations and reports, create semantic models, tune performance, collaborate with IT and business stakeholders, and implement governance for analytics products.

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Lead revenue forecasting, planning, and executive reporting across new, renewal, and expansion revenue. Manage and grow a revenue insights team while owning pre-sales analytics, forecast methodology, capacity and quota planning, and performance narratives. Build pipeline and forecast reporting, track conversion/velocity metrics, surface risks early, and apply AI to improve forecasting, anomaly detection, and automated insights.

Analyze business performance, provide insights, improve processes, participate in continuous improvement projects, and collaborate with cross-functional teams.

Lead development and scaling of financial analytics: build data models, dashboards, and reporting; translate financial data into executive insights; embed predictive analytics; partner with Finance, IT, and business units to improve data quality, governance, forecasting, and automation.

Lead the analytics team for the third-party agent business, driving business strategy, product analytics, and AI-powered insights while fostering cross-functional partnerships.