Top Hybrid Data Analysis Jobs

Supports enterprise data initiatives through data quality checks, cleanup, documentation, dashboards, reporting, and prototype development. Learns data governance, security, cloud platforms, SAP, analytics tools, and system integration. Collaborates with senior IT leaders and cross-functional teams while developing foundational skills in Python, SQL, data preparation, cloud technologies, predictive analytics, and enterprise applications.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

The Manager, Identity Fraud Strategy oversees identity verification and authentication strategies, leads a fraud analytics team, and partners with CIAM to minimize fraud while enhancing customer experience.

Analyze user behavior data to identify friction points, recommend changes for conversion optimization, and collaborate with teams to improve user flows through data-driven insights.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

As a Deployment Strategist, you will analyze data to solve client problems, engage with customer teams, and present solutions that enhance decision-making processes.

The Research Specialist will assist the research team at Applecart in delivering data and strategic tools to stakeholders through research tasks, data entry, and by identifying publicly available data sources.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

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.

Lead research strategy for Beauty, Style, and Entertainment verticals by analyzing large first-party datasets, synthesizing insights, advising marketing/editorial/sales, supporting RFPs and ad hoc requests, designing quantitative consumer research, and presenting findings to technical and non-technical stakeholders.