Top Data & Analytics Jobs in Charlotte, NC

Lead a team of analytics professionals to provide insights for customer and marketing initiatives. Oversee projects that analyze business needs, develop models, and ensure timely delivery of analytics solutions. Foster team development, manage resources, and enhance business performance through data-driven strategies.

The Revenue Operations Analyst will analyze revenue and sales data, optimize processes, and support Go-To-Market teams. Responsibilities include developing reports and dashboards, providing analytical support, collaborating with teams to enhance CRM usage, and communicating sales forecasts and performance tracking.

The Motorsports F1 Strategy Analyst will develop and refine race strategy tools using AI and machine learning, focusing on Formula 1 applications. Responsibilities include evolving existing models, creating simulation platforms, collaborating with diverse teams, and implementing effective visualizations to enhance race strategy insights.

The Senior Business Operations Analyst will manage reporting and operational support for the Retail Wireless team, develop best practices, and handle special projects. The analyst will also build relationships within the organization and oversee prepaid distribution changes.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, work across various departments to support semantic technology, and manage teams focused on ontology governance and optimized data models.

The eDiscovery Analyst will manage data collections, reviews, and productions related to litigations, arbitrations, and regulatory actions, advising case teams on best practices, coordinating data access with vendors, and documenting data custody.

The Senior Analyst, Credit Risk will monitor collateral securing credit, assess risks and exposures, utilize VaR analytics for risk management, ensure appropriate margin requirements, and develop metrics reporting. This role requires collaboration across multiple business units to maintain risk appetite and provide effective communication and executive presentations.

The SVP of Data Technology at LPL Financial will lead a comprehensive transformation of the company's data platform, focusing on developing advanced data lakes, warehouses, and analytics capabilities. This role involves overseeing data engineering functions, adopting cloud-based technologies like AWS and Snowflake, and enhancing the data-driven decision-making processes for clients and internal teams.

As a Consumer Experience Analyst, you will drive customer experience optimization through data analysis, manage product feature development, and communicate findings to stakeholders. You will also collaborate with engineering and creative teams to enhance user-centric features and improve overall performance.