Top Data & Analytics Jobs in Charleston, SC

Design and own data migration strategy and architecture. Map source-to-target data models, build data dictionaries, perform migrations and testing, reconcile results, and collaborate with stakeholders and project teams to ensure successful modernization.

Lead design, development, and optimization of data models, ETL, and reporting within Oracle Fusion Cloud. Investigate and resolve complex IT issues, ensure regulatory compliance, integrate Oracle with cross-functional platforms, document solutions, and support end-users through training and troubleshooting to drive clinical and operational improvements.

Design and build complex dashboards and interactive visualizations in Power BI and SAP SAC; integrate and model data from SAP BW, SAP HANA, and SQL; develop planning models and advanced formulas for financial/operational planning; gather requirements from stakeholders; optimize dashboard performance, manage data pipelines, and maintain report stability.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

Lead processing of survey data into cloud analysis tools, build dashboards and visualizations, train and support clients, collaborate across teams, and deliver high-quality work to meet project objectives and deadlines.

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

Lead data strategy, architecture, and governance. Design and oversee data lakes, warehouses, and ETL/ELT pipelines. Support analytics, ensure data quality/security/compliance, evaluate data technologies, and mentor a team of engineers, analysts, and scientists.

Analyze product performance metrics and user behavior to drive insights for product improvements. Collaborate with teams to develop reporting practices, A/B tests, and dashboards to inform strategy.