Top Hybrid Data Analysis Jobs

The Data Analyst will evaluate data flow, develop solutions, communicate findings, create data visualizations, and ensure timely project completion.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

As a Data Expert, you will translate business requests into analytics solutions, partnering with technology teams and deploying prototypes quickly. Responsibilities include responding to data requests, building analytics solutions, supporting credit decision-making, and leveraging AI and automation tools.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

10-week in-person internship partnering with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market making, receive mentorship and professional development, and compete for a full-time Graduate Quant Researcher role.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Support product managers and tech leads by defining backtesting and validation plans, performing data analysis and validation for client deployments, improving data flows and operations, and conducting financial securities research and modeling (regression, simulations, portfolio risk analytics).

Support a book of business by validating, transforming, and reconciling data, managing daily processing and file audits, generating reporting outputs for outreach, creating file configuration specs, resolving discrepancies with stakeholders, and driving process improvements to ensure regulatory compliance and operational efficiency.

Support Pro Outside Sales by analyzing transaction-level data, building forecasts and dashboards, validating business impact, partnering with Finance, and delivering actionable insights to field sales leaders.

Lead product data analytics: analyze large datasets, build models and dashboards, design and evaluate A/B tests, advise product decisions, automate analytics with AI-enabled tools, and collaborate with global R&D and product teams to deliver actionable insights.