Top Data & Analytics Jobs in Charlotte, NC

Lead analytics efforts for Auto Originations, driving credit strategy, building models and dashboards, advising stakeholders, ensuring compliance, mentoring teams, and collaborating across Tech, Product, Risk, and Operations to optimize portfolio performance.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

The Sr Analyst will analyze customer data, provide insights, track performance metrics, execute action plans, and support less experienced analysts in a retail environment.

The role involves being a subject matter expert in Log Management, executing competitive strategies against legacy tools, architecting log-ingestion frameworks, and advocating for log consumption optimization with customers.

Support a book of business by validating, transforming, and reconciling data, managing daily processing and file audits, generating reporting outputs for outreach, creating file configuration specs, resolving discrepancies with stakeholders, and driving process improvements to ensure regulatory compliance and operational efficiency.

Develop and validate motorsports performance metrics and analysis methods using math, physics, vehicle dynamics, and data science. Prototype and test solutions against track data, collaborate with GM Software and Performance Engineers, and implement tools into the production analysis toolchain to improve on-track performance.

The Senior Relativity Archiving Analyst is responsible for archiving and purging Relativity workspaces and file shares, collaborating with management on data disposition, and resolving archiving issues.

The analyst develops internal fraud reporting, dashboards, and insights, ensuring data accuracy and supporting decision-making for risk transparency and compliance.

The Manager of Data Engineering leads the delivery of client data migrations, mentors a team, and enhances technical delivery methodologies.

Responsible for quantitative analytics and modeling projects, including model development, statistical analysis of large datasets, and stress testing for market risks.