Top Analysis Reporting Jobs in Charleston, SC

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead design and evolution of enterprise data architecture, implement and administer Snowflake, build a centralized CDP, manage Qlik Sense analytics, enforce data governance, mentor analytics teams, and maintain enterprise data models and documentation.

Design, build, and optimize scalable ETL/ELT pipelines and cloud data platforms. Integrate data from SQL Server, Yardi, Salesforce and APIs into AWS (S3, Redshift). Collaborate with analytics, data science, and business teams to deliver trusted datasets, ensure data quality and governance, and implement DevOps, CI/CD, and infrastructure automation for operational excellence.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

Lead design and delivery of enterprise data platforms, pipelines, and governance. Manage and mentor data engineering teams, drive cloud-native modernization, ensure data quality, enable AI/ML initiatives, and collaborate with stakeholders to deliver scalable, secure, and automated data solutions aligned to business objectives.

Lead end-to-end optimization strategy for eCommerce clients by designing measurement frameworks, analyzing GA4/Shopify data and experiments, prioritizing roadmaps, running A/B tests, building dashboards, and telling data-driven stories that influence stakeholders and drive conversion, revenue, LTV, and retention.