Top Data & Analytics Jobs

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.

Senior IT leader partnering with BioProduction business leaders to define problems, shape data-driven solutions, and scale analytics and platform capabilities across operations and commercial functions. Owns data requirements, solution design for reuse, cross-functional alignment, and outcome measurement to drive adoption and value realization.

Build production-grade analytics workbooks and apps in Sigma and Databricks. Translate data models into intuitive visualizations, write Sigma calculations, enforce row-level security/HIPAA, partner with product and clinical teams, establish BI standards, productize recurring analytics, and participate in agile POD delivery.

Lead QA Automation Engineer architects and implements scalable test automation for enterprise data products, ensuring data quality across pipelines, data lakes, and platforms. Leads QA initiatives, mentors engineers, develops validation strategies, integrates CI/CD, and establishes KPIs, metrics, and monitoring to ensure reliable, production-ready data solutions.