Top Data & Analytics Jobs

The Applied Research Mathematician will develop and apply mathematical methods to solve complex problems, involving advanced mathematics and algorithm development.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Design, build, and maintain scalable data pipelines and ETL/ELT processes. Integrate data from multiple sources, design and manage databases/data warehouses, ensure data quality and governance, automate workflows, maintain compliance (e.g., GDPR, HIPAA), and optimize data system performance in collaboration with product and engineering teams.

As a Business Intelligence Engineer, you will architect data insights, challenge existing metrics, perform deep-dive analyses, design innovative models, and collaborate across teams to drive data solutions.

Lead assurance workflow automation and innovation by designing data ingestion, validation, UI and automation solutions. Collaborate with audit teams and vendors to scale tooling, leverage GenAI/Agentic AI, and deliver actionable insights using Excel, VBA, Power BI, Power Automate, and Microsoft 365 apps.

Lead Requirements Analyst responsible for healthcare claims processing, requirements analysis, and utilizing various methodologies to deliver successful projects.

Serve as a strategic analytics partner across functions to frame ambiguous business questions, drive board-level analysis, own core metrics and unit-economics, connect Finance and Marketing, and enable self-serve and AI-assisted analytics for decisions that shape company strategy.

Build and maintain end-to-end event-driven analytics pipelines for telemetry from robots and cloud systems. Own metrics catalog, schema evolution, data quality validation, and performant analytical models and queries to enable reporting and self-service analytics.

The Senior IT Data Engineer will design and implement enterprise data architectures, develop scalable ETL/ELT pipelines, and support data-driven initiatives for the Federal Reserve Board.

Design, build, and maintain scalable ETL pipelines using Python, SQL, and Palantir or similar platforms. Ingest structured and unstructured data from databases, APIs, and files; implement data models, cleansing, validation, monitoring, and performance optimizations; collaborate with stakeholders and document pipelines and best practices.