Top Data & Analytics Jobs

Design, build, and operate Camden's Microsoft Fabric data platform: implement workspaces, lakehouses, pipelines, and semantic models; enforce governance, CI/CD, backup/DR, capacity tuning, monitoring, and integrations to Power BI and AI. Partner with BI, Application Development, and AI teams to deliver trusted datasets, operational integrations, and runbooks.

The Forecasting Manager is responsible for demand forecasting accuracy, managing forecasts using machine learning, and training marketing & sales teams. Collaborates with top management to ensure forecast consistency and leads process optimization projects.

As a Growth Intelligence Engineer, you will develop data pipelines, recommendation algorithms, oversee revenue operations, and utilize data analysis to enhance user engagement and retention.

The Director of Integrated Insights and Analytics will lead processes for insights gathering and dissemination, focusing on strategic decision-making in the pharmaceutical industry.

The Principal Data and AI Architect will lead the technical design of MSIG USA's enterprise data and AI architecture, oversee platform decisions, and ensure scalable and secure integration patterns. Responsibilities include defining architecture strategies, overseeing data governance, and collaborating with business leaders to align technical direction with organizational goals.

The Business Analyst leads requirements management and testing for technology delivery, ensuring traceability, compliance, and effective communication among stakeholders while addressing project risks and issues.

The role involves leading programming efforts for clinical trials, developing SAS programs for datasets and regulatory submissions, and managing CRO partnerships. Responsibilities include ensuring data quality and regulatory compliance, with oversight of TFL outputs and eSubmission components.

The role involves writing and maintaining fraud rulesets, conducting data analysis to identify and mitigate fraud, and collaborating with cross-functional teams to implement fraud strategies.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

The role involves designing and developing customizations for IBM Infosphere MDM, focusing on data management architecture and multi-domain solutions.