Top Fintech Data & Analytics Jobs in Charlotte, NC

The Cloud Data Architect will design scalable data architectures for SaaS solutions, set data standards, collaborate with engineering, and ensure data governance and optimization. Requires advanced SQL and cloud platform proficiency.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

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.

The UAT Lead is responsible for validating developed solutions in the Agile framework, collaborating with product teams to create test strategies, executing test plans, and facilitating alignment across project teams.

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.

The Strategy Analyst will analyze business operations data to inform strategic decisions, develop compensation plans, and improve operational efficiency.

The Data and Analytics Analyst transforms data into insights for decision-making, prepares reports, conducts data analysis, and ensures data quality and compliance.

The CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

The role focuses on complex analysis to minimize fraud losses while enhancing customer experience. Responsibilities include using Excel, SAS, SQL, and Tableau for data analysis, assessing fraud risks, proposing policy changes, and coordinating product performance reports.