Top Hybrid Data & Analytics Jobs

The role involves working within an alternative investments database, including downloading and organizing files, managing documents, creating and tracking Letters of Authorization, and reconciling transaction data in Excel. Attention to detail and timeliness is crucial.

As a Research Scientist at Kensho, you will develop state-of-the-art NLP models, contribute to collaborative research projects, and share your findings. You'll work with techniques for large data processing and evaluate new directions in machine learning. Your role focuses on innovative problem-solving and iterative collaboration with a team.

As the Analytics Manager for Growth & Marketing, you will develop user acquisition strategies, collaborate across teams to enhance user engagement, create executive-level performance narratives, and mentor a direct report. Your role focuses on data-driven decision-making to optimize marketing efforts and improve retention rates for a financial health company.

As a Senior Data Engineer at Zocdoc, you will design and maintain scalable data systems, collaborate with cross-functional teams, and develop modern data architectures to enhance data workflows. Your role involves optimizing data pipelines, governance initiatives, and building tools for better data accessibility, directly impacting patient and provider experiences.

The Marketing Research Analyst role involves conducting comprehensive market research, analyzing trends, providing data-driven insights to support sales and marketing efforts, and creating visually compelling presentations. The position requires translating complex data into actionable insights, conducting competitor analysis, and forecasting market trends.

The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.

The Client Operations Analyst will support the operations of the department by managing resource planning, optimizing processes, and overseeing data analytics. This role involves monitoring KPIs, capacity planning, creating operational documentation, and collaborating with various teams to drive improvements based on data analysis.