Top Data & Analytics Jobs in New Orleans, LA

The Senior Data Analyst will lead churn analysis and customer success metrics, providing insights to improve retention strategies and customer satisfaction. Responsibilities include conducting deep-dive analyses, working with cross-functional teams, and developing predictive frameworks.

The People Analytics Analyst will create dashboards, visualize data, and provide insights to improve decision-making and HR strategy. Responsibilities include managing analytics, partnering with leaders, and ensuring data integrity.

Underwriter will assess risks for workers' compensation and commercial auto insurance, make underwriting decisions, and maintain customer relationships while managing high transaction volumes.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Analyst will create analytics and reporting, support health data analysis, and collaborate with clients to improve healthcare insights. Responsibilities include developing SQL data models, delivering dashboards, and conducting client support and training.

The Senior Clinical Data Manager will oversee clinical trial databases, ensuring adherence to timelines, quality of deliverables, and coordination among study teams. Responsibilities include database design, project oversight, training, and resolving data issues.

The Senior Data Analyst will analyze e-commerce operations and pricing strategies, build reporting infrastructure, and collaborate with teams to drive data-informed decisions for revenue growth.

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.