Top Hybrid Data Analysis Jobs

Performs account- and portfolio-level catastrophe modeling for commercial property insurance using vendor software and internal tools. Responsibilities include validating property data, analyzing aggregate exposures and portfolio trends, supporting underwriters, delivering results to actuarial, reinsurance, and finance teams, maintaining quality controls, and developing reports and training materials. The role requires strong quantitative analysis, insurance knowledge, advanced Excel and SQL skills, and effective stakeholder communication.

Build CodeRabbit’s foundational BI capabilities, executive and board-level dashboards, governed dbt data models, and self-serve analytics workflows. Analyze finance and go-to-market performance, including ARR, pipeline, margins, forecasting, and billing. Partner with Finance, GTM, and leadership to establish trusted metrics, improve data infrastructure, and develop agentic tools that generate reviewed dashboards and insights.

Supports product actuarial activities including pricing model validation, large-account pricing indications, management reporting, analytics, and research requests. The intern works with actuarial staff and business teams to analyze data, maintain reports, and communicate findings. This full-time summer internship requires current college enrollment, at least 60 completed credit hours, strong Excel skills, attention to detail, collaboration, and the ability to manage multiple tasks.

Own and expand Ramp’s AI spending research, including the Ramp AI Index, new adoption and ROI metrics, international analysis, and customer-facing insights. Produce research reports, visualizations, presentations, dashboards, and interactive tools for finance leaders. Translate data into recommendations for budgeting and AI strategy, collaborate with growth teams on distribution, and communicate findings through writing, events, and executive engagement.

Owns Care.com's Voice of the Customer program, analyzing large-scale survey, review, account-management, and contact-center feedback. Leads a VOC Insights Analyst and translates quantitative and qualitative findings into actionable recommendations for Product, Design, Operations, and other stakeholders. Oversees NPS, CSAT, and customer-effort measurement frameworks, survey methodology, taxonomy, reporting, and program expansion. Uses AI and text analytics to identify themes and trends, influence roadmaps, and improve member experiences.

Research and analyze aromatics and fibers chemical markets, including pricing, forecasts, capacity, supply and demand data. Maintain industry and market knowledge, support consulting analyses and economic models, monitor industry news, respond to client inquiries, and contribute to cost studies and client presentations. The role requires collaboration with consultants and direct customer interaction in office and onsite settings.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

Leads data strategy, analytics, visualization, reporting, governance, and knowledge-management initiatives supporting Army medical systems acquisition and program execution. Integrates and analyzes complex datasets, develops dashboards and predictive models, establishes data-quality practices, and communicates actionable recommendations to government leaders and cross-functional stakeholders. Supports data and document migration, executive briefings, logistics analysis, forecasting, and decision support.

Conduct external marketing research and data storytelling, transforming complex datasets into defensible narratives for press, customers, and industry audiences. Serve as an approval gate for marketing claims, ensuring data is substantiated before legal review. Independently manage research projects, coordinate external partners, and collaborate with Legal and product marketing. Apply industry expertise, analytical judgment, SQL, Python or R, BI tools, and AI tools to produce rigorous published insights.

Conduct quantitative research with senior researchers on trading strategies and models. Develop statistical models, investigate signals, optimize strategies, and analyze large-scale datasets using advanced computational resources. Collaborate in a rigorous academic environment, present complex ideas, and solve challenging real-world problems.