Top Senior Data & Analytics Jobs

Design, build, and maintain production data pipelines and the unified data model using Snowflake, dbt, and orchestration tools. Optimize, test, document, and monitor ELT workflows, enforce engineering best practices, mentor teammates, and deliver trustworthy data products for analytics and business decisions.

Build and maintain Tableau dashboards and data products by extracting and validating data (SQL/Redshift), translating business requirements, supporting stakeholders, documenting/reporting, and mentoring junior analysts to drive data-informed decisions.

Lead design and delivery of enterprise people analytics solutions, partner with HR and data teams to produce dashboards, predictive analytics, and executive insights that drive workforce planning, talent decisions, data governance, and organizational health across a global matrixed organization.

Partner with Product leadership to build scalable Snowflake data models, run behavioral and funnel analyses, design A/B tests and predictive models, and translate insights to influence roadmap and product strategy.

Lead development of provider data products and ML-based decision support, manage provider data quality, collaborate across teams to build provider-facing analytics, and establish MLOps standards and governance.

Lead clinical data management across multiple trials, set strategy and standards, oversee CROs/vendors, ensure analysis-ready and regulatory-compliant data, manage EDC systems and key deliverables (DMPs, CRFs, edit checks, database locks), mentor team, and collaborate with Biostatistics, Clinical Operations, and Regulatory Affairs.

Design, implement, optimize, and maintain scalable, high-availability database solutions for a SaaS healthcare product. Integrate client data, resolve complex data issues, refactor systems for Azure, optimize MSSQL performance, participate in code reviews, and deliver features within Agile/Scrum to ensure reliable, high-performance data services.

Lead design, governance, and implementation of enterprise data and AI architectures. Define standards, mentor engineers, review projects, document target-state architectures, and drive adoption of scalable cloud data solutions.

Manage Unity Audience Hub lifecycle: integrate and model first-party data, build audience segments, support sales with measurement and insights, run clean-room collaborations, and drive cross-platform campaign measurement and reporting.

Lead enterprise analytics product strategy and executive reporting, establish data governance and a corporate data dictionary, partner with data engineering and data science to build scalable analytics solutions, and drive adoption of AI-enabled insights for C-suite decision-making.