Top Analysis Reporting Jobs in Charleston, SC

Lead design, build, test, and maintain scalable cloud data platforms and pipelines (ETL/ELT, batch and streaming). Ensure data quality, governance, security, CI/CD deployment, performance tuning, migration/archival, and mentor data engineering teams to support analytics and AI/ML use cases for a federal modernization program.

Analyzes business, customer, sales, pricing, rebate, and profitability data using data warehouses, databases, spreadsheets, statistical tools, and presentation software. Develops reports, recommendations, sales plans, contracts, and customer profiles; troubleshoots discrepancies, documents procedures, supports strategic initiatives, and participates in special projects. Requires independent problem-solving, strong communication, organization, and attention to detail.

Lead Client Legal Services analytics strategy and team development. Own Power BI reporting products, Microsoft Fabric data solutions, governance, predictive modeling, responsible AI adoption, ROI measurement, and executive insights. Partner cross-functionally to improve legal operations, litigation outcomes, staffing, capacity, cost management, quality, and workflow optimization while building scalable analytics capabilities and institutional knowledge.

Analyzes healthcare data to produce actionable insights for strategic decision-making. Responsibilities include gathering, cleaning, validating, and analyzing data; developing reports, dashboards, and visualizations; identifying trends and opportunities; improving data quality and reporting processes; and presenting dashboards to field executives. The role collaborates with stakeholders and cross-functional teams to translate business needs into analysis tasks.

Analyze automotive marketing and inventory data using complex SQL queries, investigate CRM and data discrepancies, standardize external data sets, maintain client-facing BI dashboards, and perform rigorous data quality assurance. The role also involves resolving Jira and HubSpot tickets, fulfilling ad hoc analytical requests, and collaborating with a US-based reporting team in English.

Build and maintain ETL/ELT pipelines, ingest and transform structured and unstructured data, integrate APIs and external sources, improve data quality and monitoring, support dashboards and ML pipelines, optimize warehouse and cloud performance, and contribute to data governance and documentation.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Analyze and reverse-engineer legacy tax data for conversion into TaxSys. Create data mapping specifications for developers, QA conversion results, investigate data issues, prepare data for customer training and verification, and guide clients through conversion decisions and go-live. The role also involves customer communication, project documentation, planning, time management, and potential project leadership.

Early-career Data Engineering Analyst supporting AIG’s Data Office through a rotational program. Responsibilities include developing cloud-based data pipelines, collecting and transforming data, building modern software systems, and supporting analytics and data science use cases. The role emphasizes data quality, security, compliance, collaboration, analytical problem-solving, and professional development through mentoring, masterclasses, and on-the-job experiences.