Top Data & Analytics Jobs

This role involves valuation, pricing and product development, modeling, forecasting, and risk management tasks related to life insurance and annuity products.

Design, build, and maintain large-scale data platforms, pipelines, and warehouses to power reporting, analytics, and AI-driven solutions. Develop agentic AI applications and backend services, improve frontend dashboards occasionally, enforce data governance and testing, mentor junior engineers, and collaborate cross-functionally to optimize performance and reliability.

The Senior Associate will analyze power markets and energy storage, build revenue models, and support commercial strategies to inform investment decisions.

The Digital Products Reporting Manager will lead and develop reporting and analytics strategies for digital products, present insights to stakeholders, and analyze performance and trends to enhance user experiences and project outcomes.

The Staff Data Engineer will lead the architecture and reliability of Hinge Health's data platform, manage technical complexity across teams, set data standards, and enhance engineering practices.

The Execution Analyst role involves analyzing client and market data, monitoring algorithm performance, and providing insights to improve electronic trading strategies.

As a Quantitative Researcher, you will conduct quantitative modeling and analysis for evergreen private equity portfolios, support liquidity management, and collaborate on client engagements using large datasets.

As an Azure Data Platform Consultant, you will deliver data solutions using Azure and Fabric, engage with clients, design solutions, and optimize data platforms.

Produce original data-driven journalism on institutional investing, wealth management and financial advice by sourcing, cleaning and analysing datasets; build charts, graphics and interactive visualisations; use public records, APIs and web scraping to uncover stories; collaborate with reporters and editors on long-term investigations and short turnaround pieces.

As a Data Scientist at Triumph, you'll build models that optimize monetization, retention, and acquisition while analyzing user behavior data to drive strategic decisions.