Top Data & Analytics Jobs

The Research Analyst will produce investment research and video content, assist in macroeconomic analysis, and contribute to social media efforts.

Collects, cleans, and analyzes institutional data; produces reports, dashboards, and visualizations; supports accreditation and compliance; designs surveys and assessments; conducts longitudinal and cohort analyses; and provides evidence-based recommendations to university leadership.

The Data & AI Analyst will manage customer data migrations, enhance internal tools, build reporting solutions, and collaborate on data quality with engineering.

Support quantitative research, portfolio management, and risk teams by developing and maintaining quantitative models, portfolio construction and risk processes, addressing data and analysis requests, communicating results, and participating in research projects to enhance tools and models.

The Business Analyst will support program performance, data-driven decision-making, and report generation while collaborating with stakeholders and ensuring data accuracy.

Manage and maintain fundraising database integrity, produce and format reports and dashboards, support data imports/exports and integrations (Salesforce Marketing Cloud, Omatic Cloud), audit gifts and pledges, train users, and collaborate with stakeholders to ensure compliant, accurate reporting for fundraising operations.

Process and analyze seismic data to produce accurate 3D subsurface images. Test and optimize imaging workflows, perform quality control, collaborate with scientists and developers, contribute to publications, and support client projects with technical seismic insights.

Serve as the senior analytics partner to Merchandising and commercial teams. Identify and prioritize revenue, margin, inventory, and customer opportunities; translate ambiguous questions into rigorous analyses and measurement plans; guide experimentation and causal inference; define data requirements; and partner with engineering, BI, and analytics teams to operationalize solutions. Communicate insights to senior leaders, establish analytical standards, and enable merchandising teams to make data-driven decisions.

Leads specialty exposure management for non-natural catastrophe and liability portfolios across insurance lines. Oversees analysts performing pre- and post-bind modeling, portfolio production, reporting, regulatory submissions, data quality, and model validation. Partners with underwriting teams to optimize risk-adjusted capacity deployment, presents portfolio insights to senior stakeholders, manages outsourcing relationships, and advances exposure management tools, workflows, AI, automation, and analytics capabilities. Requires extensive insurance or reinsurance catastrophe modeling experience and strong leadership, risk governance, SQL, and analytical skills.

Analyzes customer, marketplace, product, financial, merchant, and transaction data to identify trends, risks, and growth opportunities. Builds analytical frameworks for new products, markets, and strategic initiatives; validates data sources and metrics; investigates anomalies; and develops actionable recommendations. Communicates insights through dashboards, presentations, and concise storytelling to senior executives, cross-functional leaders, and the Board. Partners with Product, Engineering, and Data teams to improve decision-making and uses emerging AI tools to accelerate analysis.