Top Analysis Reporting Jobs in Charleston, SC

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

Lead and manage a small team to intake, frame, prioritize, and hand off data initiatives. Translate business needs into solution blueprints, ensure alignment with architecture and governance, define KPIs, track ROI, and drive stakeholder alignment across Claims, Finance, Marketing, and Operations.

Implement and manage full lifecycle client data integrations for inbound HRIS and benefits conversion files. Gather requirements, configure files, establish secure transfers, oversee testing, coordinate clients/vendors, track project status, and transition integrations to steady-state while ensuring data accuracy and resolving defects.

The Director Analyst focuses on smart manufacturing technologies, advising clients on market landscapes and delivering research on digital transformation and manufacturing technologies to drive key business outcomes.

The Portfolio Analyst analyzes portfolio performance data for Connexus Credit Union, identifying trends to support risk management and strategic decision-making. Responsibilities include developing reports, dashboards, and insights, while collaborating with various departments to optimize collections and ensure compliance.

The Associate Director of Reporting and Analysis will convert operational data into actionable insights, drive business decisions, and enhance customer engagement through effective data reporting and analysis.

Lead development and execution of forward-looking drug spend forecasting models, quantify macro-market impacts, partner with clinical and pricing teams, translate analytical findings for executives and clients, build automated reporting with Data Analytics, support sales/proposals, engage brokers/consultants, and drive strategic growth projects.

Manage end-to-end analytics for performance guarantees across strategic accounts: execute recovery and accrual analytics, build SQL-based pipelines and Looker dashboards, support RFPs/renewals with scenario modeling, partner with Sales/Customer Success and Data Engineering, and present technical findings to internal leaders and clients to mitigate financial risk and drive actionable insights.

Design and build Snowflake transformation layer and migrate legacy SQL to versioned dbt models. Define conformed dimensions/facts using Kimball principles, set modeling and CI/CD standards, implement data quality/lineage, support BI migration and AI/ML readiness, and mentor future hires. Hands-on work in dbt, SQL, and Python with stakeholder collaboration and governance for financial and operational data.

Build and own the data platform backbone: design ingestion patterns, Snowflake warehouses, governance, and freshness strategy. Implement reliable batch and streaming pipelines, data quality, observability, and onboarding processes. Lead legacy migrations, create data contracts and SLAs, and apply AI-native tooling to automate debugging, documentation, and operational workflows while partnering with Analytics, Engineering, and vendors.