Top Data & Analytics Jobs

Serve as the line-of-business data governance resource to measure and monitor data quality, design and execute remediation plans, manage data assets and inventories, translate business rules into data quality controls, support data sharing platforms, and partner with centralized governance to apply best practices and automation.

Transform commercial, market, consumer, and portfolio data into actionable insights. Build and maintain dashboards and KPI reporting, analyze performance and competitive trends, support pricing, assortment, and launch decisions, and deliver executive-ready recommendations while partnering with cross-functional teams to ensure data quality and commercial alignment.

Conduct and manage quantitative and qualitative public health research: design studies and surveys, collect and clean data, perform statistical analyses, match health datasets, guide IRB approval, and translate findings into reports, briefs, visualizations, and policy-relevant communications.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

Analyze and document business strategies, brand activities, consumer contacts and social media. Collaborate with SMEs and tech partners to establish technical vision, produce reports and insights to support product, promotion and consumer-service decisions across the organization.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

Support end-to-end data warehouse lifecycle: gather requirements, design systems and ETL (Teradata), develop, tune performance, document for SOX, provide production support and occasional on-call pager rotation.

Lead subscriber and sales forecasting, analytics, and reporting for North American accounts. Build models, analyze large datasets, set sales targets, communicate insights, and partner with stakeholders to drive subscriber growth.

Senior analyst to perform multi-variable statistical analysis, identify trends and anomalies, plan special studies, and prepare briefings. Develop and maintain Power Platform solutions (SharePoint, PowerApps, Power Automate, Power BI), ensure data governance and security compliance, and communicate findings to technical and non-technical stakeholders.

The Business Intelligence Data Analyst II supports reporting, dashboards, and data-driven insights, working closely with Business Intelligence and Data Engineering teams. Responsibilities include optimizing data structures, leading data modeling, collaborating on requirements, and monitoring data feeds.