Top Data & Analytics Jobs in Charlotte, NC

The Actuary will lead model development and validation in the Modeling & ALM team to support financial reporting and strategic decision-making.

The Data Engineer will design and implement a cloud data warehouse using Snowflake and dbt, focusing on data vault modeling, ETL/ELT processes, and data quality frameworks while supporting cloud migration efforts.

The Traffic & Revenue Analyst analyzes data to forecast traffic and revenue, optimizing through insights and collaborating on feasibility analyses for projects.

Execute technical analytics projects for the Quit For Life program: extract and model data, build dashboards and reports, partner with stakeholders, provide insights to leadership, and mentor junior analysts.

The Data Analyst will build data pipelines, analyze complex datasets, and provide insights to support decision-making across multiple stakeholders in GFiber.

Implement client revenue cycle data into company systems by creating and configuring ETL processes, building data transformations and logical/physical schemas, documenting solutions in Jira, attending client meetings, and mentoring team members to ensure post-implementation data integrity.

Lead analytics for a portfolio of credit card partners, develop data-driven recommendations, analyze tradeline and member-level data, build reporting in BI tools, and partner cross-functionally to drive growth and manage credit risk.

The role involves improving reserving models, developing predictive models using telematics and claims data, and influencing pricing and underwriting decisions through data analysis.

Hands-on data stewardship role in the Reltio MDM UI to maintain accurate company and contact records. Review and resolve match/merge results, execute merges/unmerges, maintain hierarchy structures, monitor data quality dashboards, identify and correct duplicates or inconsistencies, document stewardship decisions, and collaborate with domain owners and governance to improve rules and workflows.

The Data Modeler is responsible for designing, improving, and maintaining data models, supporting data governance, and collaborating with stakeholders to deliver data assets.