Top Data & Analytics Jobs in Charlotte, NC

As a KYC Quality Assurance Tester, you will ensure the quality and compliance of KYC processes, review records, and provide feedback to stakeholders.

Four-month co-op supporting data analytics and AI initiatives. Responsibilities include preparing and analyzing datasets, building Power BI dashboards and reports, applying statistical and machine learning techniques, documenting findings, presenting insights, and improving forecasting accuracy, automation, and data reliability.

The Senior Data Analyst gathers BI requirements, analyzes enterprise and offline datasets, writes complex SQL queries, designs dashboard wireframes, and builds reports using Power BI, Tableau, and Domo. The role documents specifications and data processes, validates data accuracy, troubleshoots discrepancies, and collaborates with business, product, and data engineering teams. Prior US trust business knowledge is essential, along with strong stakeholder communication and analytical problem-solving skills.

Leads Webflow’s analytics engineering function and long-term enterprise data architecture strategy. Responsibilities include managing and developing an analytics engineering team, building scalable data models and infrastructure, establishing a governed semantic layer, and enforcing standards for data quality, metadata, lineage, access control, and documentation. The role partners with analytics and business teams to define trusted metrics, enable self-service and conversational data access, and advance AI-native data capabilities.

Build, operate, and optimize production-grade data pipelines and data products for healthcare and audience applications using Python, SQL, Airflow, Snowflake, S3, and EMR. Implement data models, data-quality controls, privacy-by-design for PHI/PII, onboarding and integration, monitoring, and runbooks while partnering with product, analytics, and platform teams.

Design, develop, test, and support scalable batch and real-time data pipelines. Partner across teams to define requirements, implement data governance, automate monitoring, troubleshoot performance, and mentor peers while productionalizing big data solutions on cloud platforms.

The VP of Data & Insights leads GitLab's data strategy, overseeing a team to enhance analytics capabilities and drive AI integration across the enterprise.

Lead design and build of a new graph-backed enterprise data platform: architect graph and relational storage, ingestion and ETL/ELT pipelines, entity resolution, temporal models, governance, APIs, and production deployments across cloud and customer-hosted environments.

The Marketing Data Analyst will support marketing performance evaluation, optimize initiatives, manage data processing, and create reports for stakeholders.

The Business Analyst will support partnership growth by building analytics infrastructure, addressing data quality issues, and providing insights for strategic decision-making.