Top Hybrid Data & Analytics Jobs in New York City, NY
The Analyst will support the Structured Investments Distribution team by conducting sales calls, learning about iCapital products, analyzing sales trends, and assisting senior sales professionals. Responsibilities include making 100+ outbound calls daily and partnering with external sales teams to enhance client relationships.
The Analyst will support the Structured Investments Distribution team by managing relationships, analyzing performance metrics, developing presentations, and responding to client needs. This role requires coordinating with senior team members and participating in sales calls while handling various projects and data-driven requests.
Seeking an Analyst or Associate to focus on feeder fund origination for hedge funds and private equity within the Client Success department at iCapital. Responsibilities include preparing fund marketing materials, coordinating with Compliance and Legal teams, supporting fund onboarding projects, and assisting in fund launch activities.
The Senior Architect will provide guidance on DataBricks, design data flow and processing pipelines, manage data architecture, assist clients with data management, and coach consultants. The role includes ensuring data integrity and coordinating with application owners for analytics integration.
As a Senior Data Engineer at Hinge, you will design, build, and optimize data pipelines, enhance data modeling techniques, and maintain analytics data warehouses. Your efforts will improve product services, ensuring data consistency and low latency while directly impacting user experience and product performance. You'll work cross-functionally to support data-driven decisions and participate in on-call rotations for system reliability.
As a Data Engineer at Hinge, you will develop and maintain essential data pipelines and processes that support the organization’s decision-making. Your role involves collaborating with data teams, improving the data engineering stack, and executing data modeling tasks, all while using modern technologies and delivering data-driven insights.
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The Machine Learning Infrastructure Engineer will develop and support ML infrastructure for AI/ML teams, collaborating closely with engineers and scientists. Responsibilities include building scalable infrastructure for ML model development, managing lifecycle and monitoring, and creating an internal training platform for offline experimentation.
As the Director of People Analytics, you will lead a team of HR analysts, transform data into impactful insights, integrate analytics into operational processes, and collaborate with executives for strategic initiatives. Your focus will be on employee lifecycle metrics, diversity & inclusion, and enhancing reporting and analytics capabilities across HR systems.
As a Senior Business Systems Analyst, you will manage and optimize SaaS applications, ensure compliance and governance, support vendor selection, and identify cost-saving opportunities while collaborating across teams to improve workflows and implement emerging technologies.
As a Staff Engineer on the Data & Analytics team, you will lead high-visibility projects, provide technical leadership, mentor engineers, and drive architectural decisions for the platform. You will collaborate with product teams to enhance data management ecosystems and ensure system reliability and scalability for data ingestion and processing.
The Quality Assurance Analyst at Gusto will evaluate sales calls for quality and compliance with policies, optimize client experience, identify issues, and work cross-functionally to align with organizational goals, while supporting training and improvement of QA processes.
The Principal Data Scientist will build data acquisition pipelines, preprocess and assess data quality, utilize natural language processing techniques, and implement various data science models. Responsibilities include generating data visualizations, communicating modeling results, and deploying scalable models within the company's infrastructure to enhance data-driven solutions.
As a LME Legal Analyst, you'll review leveraged finance documentation, provide analysis on distressed scenarios, write reports, answer client inquiries, utilize proprietary technology for data expansion, and represent 9fin in the press and at conferences.
As an AI Research Scientist, you will lead innovative research in machine learning and data science, conducting large-scale experiments, developing advanced deep learning models, and publishing findings. You will collaborate with teams to refine methodologies and contribute to evolving research practices, applying the latest theoretical advancements to enhance technologies and products.
The Outsourced Chief Investment Office Analyst supports clients in understanding and executing their investment plans, creates investment reviews, and aids business development activities. The role requires collaboration with senior team members and cross-functional teams to facilitate investment solutions and client relationships.
The Collateral Eligibility Business Architect will lead collateral eligibility data governance, product integration, and support the development of J.P. Morgan's Collateral Eligibility Service. Responsibilities include aligning collateral capabilities and processes across business lines, enhancing user experience through innovation, and providing insights for liquidity management and collateral optimization.
The Quantum Computing Research Scientist will push forward the area of quantum error correction, collaborating on theoretical and experimental aspects, integrating these with quantum algorithms for various applications, and documenting findings for publication.
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