Top Analysis Reporting Jobs in Charleston, SC

Provide technical leadership for Data Engineering and Systems Integration on Microsoft Fabric/Azure. Define data warehouse and ELT standards, data modeling, governance, and integration architecture for Shopify Plus and SaaS platforms. Lead and mentor a DBA, Data Engineer, and Integration Engineers, review technical designs, optimize platform resources, and act as technical escalation for complex integration and data flow challenges.

Lead and manage the BI team to develop and deploy BI strategies, dashboards, and analytical models. Ensure data quality, governance, integration, and actionable insights; partner with stakeholders to translate needs into BI solutions and support organizational reporting and process improvements.

Design and maintain executive Power BI dashboards and Power Apps, translate clinical and financial data into actionable insights, build frontend data products, educate end-users, partner with backend engineers to build pipelines in Microsoft Fabric, and perform ad-hoc healthcare analytics and modeling to support operational leaders.

Build and operate Databricks-based lakehouse pipelines (medallion/Data Vault 2.0), resolve identity across systems, enable near-real-time CDC, integrate external partners, add observability, and partner with AI/product teams to deliver trustworthy data for BI, ML, and in-product features.

Lead end-to-end product analytics for New Content Experiences, partnering with Product, Design, Data Science, and Engineering to analyze large datasets, build tools, ensure data quality, and inform product strategy and decision frameworks.

Lead supply-and-demand forecasting for the psychiatry service line: build and maintain S&D models, integrate models into core data infrastructure, define operational metrics (capacity, clinician utilization, hiring targets), run forecast vs. actual audits, and partner cross-functionally to guide hiring, resource allocation, and operational improvements.

Manage and administer SQL Server, PostgreSQL, MySQL, and NoSQL platforms. Handle backups, archiving, security, performance tuning, ETL/SSIS and cloud data pipelines, and support reporting, DevOps, and application teams. Monitor jobs, troubleshoot issues, implement best practices, and drive automation and optimization across dev/staging/production environments.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Provide systems support and reporting for property management platforms: maintain Quickbase, Tableau, Power BI and Microsoft CRM/Power Platform components, build dashboards and custom reports, assist with migrations, month-end and gross potential rent reporting, manage ShareFile and user administration, and act as first-line support for tickets and system issues.

Lead analytics and reporting for value-based contracts: build and maintain performance evaluations, calculate incentive distributions, translate business requirements into technical specs, partner with Data Engineering to ensure data quality, write SQL and Python analyses, gather stakeholder feedback, and deliver ad-hoc and executive-level insights to guide strategic decisions.