Top Senior Data & Analytics Jobs

The Business Analytics Manager will partner with Lifecycle Marketing to enhance member communications, drive engagement, and inform strategic decisions using data analysis and insights.

The Senior Data Analyst will manage financial ROI models and product analytics, working with cross-functional teams to enhance healthcare outcomes through data-driven insights.

The Technical Data Analyst maintains and analyzes investment data, builds data systems, ensures data quality, and collaborates with clients and teams. Duties include data analysis, visualization, and continuous improvement in data management.

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.

The Decision Analytics Consultant manages data-focused projects in the pharmaceutical sector, utilizing data science techniques to enhance decision-making and guide junior team members, ensuring effective client service and project delivery.

The Analyst IV is responsible for delivering POS and Payments technology solutions, managing system integration, and ensuring operational excellence. They collaborate with stakeholders to translate business needs into effective technical solutions while mentoring junior team members.

The Director of Data Strategy will lead the development of data feeds for marketing and consumer insights, ensuring client integration and satisfaction while collaborating across multiple teams.

The Credit Bureau Business Analyst will manage bureau relationships, analyze credit data, influence strategies, and improve outcomes collaboratively across teams.

Provide functional support for JD Edwards EnterpriseOne applications, focusing on inventory and distribution while enhancing workflows and user training.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.