Top Hybrid Data & Analytics Jobs

Build and maintain scalable batch, streaming, and real-time data pipelines, platforms, data lakes, warehouses, and lakehouses. Implement data quality, governance, security, observability, automation, and cloud modernization. Partner with product, engineering, analytics, data science, and business teams to deliver analytics, AI/ML, reporting, and customer insight solutions. Troubleshoot production issues, guide architecture, mentor engineers, and provide technical leadership across marketing data initiatives.

Leads enterprise data strategy and architecture for Pfizer Global Supply and Enterprise Solutions. Owns target-state architecture, canonical data models, ontologies, data contracts, governance standards, trusted data product certification, and GxP data integrity. Builds and directs architecture and stewardship teams, chairs architecture reviews, aligns federated solution teams, and partners with enterprise data, AI, ERP, cybersecurity, and identity organizations. Requires senior stakeholder influence and deep experience in enterprise data architecture, regulated environments, manufacturing, quality, supply chain, and AI readiness.

Build and operate reliable data systems and products supporting clinical operations, drug evaluation, business development, analytics, machine learning, and AI agents. Responsibilities include designing pipelines, canonical data models, data contracts, warehouse transformations, quality and observability practices, governance for regulated data, and incident response. The role partners closely with Product Engineering and Data Science, uses AI-assisted development, contributes to architecture, and mentors other engineers.

Develops and supports big data pipelines for Marketing Services products. Responsibilities include client data onboarding, source-data analysis, data mapping and business-rule configuration, pipeline coding, troubleshooting backend and pipeline issues, and cross-functional collaboration with product, architecture, engineering, and consulting teams.

Lead and grow WHOOP’s Analytics Engineering team while owning the quality, scalability, and evolution of its analytics transformation layer. Build reliable, documented, tested data models; translate business and analytics needs into scalable solutions; and coordinate with Data Engineering and Analytics Platform on pipelines, contracts, and architecture. Establish dbt and software-engineering standards, manage team priorities and roadmap execution, and support AI-ready analytical data and development workflows.

Translates business problems into analytical designs, performs quantitative analysis, and delivers data-driven recommendations. Uses disparate enterprise data sources, predictive analytics, visualization tools, and automation to support business decisions. Leads analytics projects, communicates insights to stakeholders, mentors analysts, measures business impact, and partners with development teams on tracking solutions and integrations.

Conduct quantitative research to design, implement, and deploy mathematical trading models. Build custom tools for exploratory analysis, apply rigorous quantitative techniques to solve complex problems, and collaborate with traders and developers to productionize models while maintaining best practices.

Analyzes account portfolio whitespace, pipeline, deal performance, campaign attribution, rep productivity, budgets, forecasts, and expenses. Builds models and executive reporting to improve revenue planning, forecast accuracy, and account management decisions. Partners with Account Management, Finance, Marketing, Contract Administration, and regional leaders; validates Salesforce data and translates complex findings into actionable recommendations.

Lead data governance policy implementation, platform administration, workflow configuration, metadata management, data cataloging, lineage documentation, and data quality analysis. Collaborate with data owners and organizational workgroups to implement governance practices, maintain glossaries and dictionaries, and serve as a resource for governance best practices. The role may lead junior staff efforts but has no direct reports.

Manages configuration and data management for an Air Force ICBM acquisition program. Responsibilities include data access control, database folder architecture, CM/DM policy and process development, cross-functional collaboration, risk mitigation, metrics, data visualization, meetings, process improvement, and stakeholder communication. The role requires an active Secret clearance, eligibility for Top Secret/SAP/SCI access, U.S. citizenship, and substantial configuration or data management experience.