Top Fintech Data & Analytics Jobs in Charlotte, NC

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Lead analytics for marketing and customer acquisition: build dashboards, design and evaluate A/B tests, monitor conversion funnels, develop multi-touch attribution reporting, migrate reports to new systems, combine structured and unstructured data, and partner across Marketing, Sales, Finance, Operations, Credit, and Technology to turn insights into automated actions.

The Strategist III, Value Analytics will own strategic workstreams, revamp dashboards for billing data, conduct analyses, and lead independent projects, improving Cedar's reporting suite.

The Analytics Manager will lead a team of analysts, focusing on data product delivery in the life insurance sector, while ensuring quality standards and mentoring team members.

Lead client engagements delivering advanced reporting, analytics, and large-scale historical data migrations into Unanet ERP AE. Design and validate complex SQL, SSRS, and Power BI solutions, mentor junior consultants, use AI-assisted tools for analysis and QA, and manage multiple projects to ensure accurate reconciliation and client outcomes.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

The Business Intelligence Manager leads analytics and reporting solutions, ensuring alignment with business strategy, team development, and modern BI practices.

The Business Intelligence Manager leads analytics solutions, focuses on business strategy, and enhances reporting for executive decision-making while managing a team of BI analysts.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.