Top Senior Level Analytics Jobs in NYC, NY

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.

As a Quantum Computing Research Scientist at JPMorgan Chase, you will advance quantum error correction through collaboration on algorithm-specific corrections and experimental demonstrations, document findings, and contribute to intellectual property.

The role involves advancing the field of quantum algorithms, providing research solutions for internal projects, collaborating with quantum researchers, and documenting findings in scientific papers. The scientist will also focus on applications in optimization, stochastic modeling, numerical analysis, and machine learning.

As a Senior Business Analyst at Capital One, you will analyze business challenges and support product strategies through data modeling and analytics. You will drive cross-functional projects to enhance customer experiences and improve credit performance while collaborating closely with various teams.

The Sr. Director of Data Engineering will lead teams to deliver scalable data products and platforms, ensuring best practices in data engineering. Responsibilities include developing data strategies, leading a team of over 70 engineers, partnering with Product and Design teams, and managing high expectations regarding data. The role requires innovative thinking and strong leadership skills to attract top talent and drive the enterprise's data capabilities forward.

The Manager of Ontology and Data Modeling will develop and implement enterprise ontologies, work with multiple teams to integrate semantic technology, and prioritize the Ontology and Data Modeling roadmap to meet business objectives. Responsibilities also include mentoring junior associates and advocating for ontology-related initiatives.

The Director of HR Data Strategy and Analytics will build and manage HR operational infrastructure, enhance efficiency, oversee HR data systems, lead HR analytics capabilities, manage global HR vendor relationships, and ensure compliance during country expansions. The role focuses on continuous improvement, collaboration, and data-driven initiatives to enhance employee experience.

The role involves developing and executing partnership strategies with payroll providers and gig platforms to enhance data access for banks and fintechs. Responsibilities include negotiating deals, collaborating with product teams, setting success metrics, and fostering stakeholder relationships to drive business growth.

As a Manager of Data Analytics at Ontra, you will build and lead a high-performing data analytics team. Your responsibilities include translating business problems into actionable metrics, driving result-oriented insights, breaking down complex projects, coaching team members, and ensuring accountability within the team to deliver impactful results.

The Data Engineering Manager will lead the development of core data pipelines, mentor junior engineers, collaborate across disciplines, and ensure user privacy. Responsibilities include task planning, recruitment, and maintaining technical accuracy in the team's work.

The Vice President of Data Intelligence Engineering will drive the execution of quarterly deliverables and long-term strategies while developing a world-class data platform. Responsibilities include ensuring data privacy and security, mentoring engineering teams, and collaborating with cross-functional teams to align strategies with company objectives.

As a Senior Manager Analytics for Growth at Brigit, you'll drive data strategies to enhance user engagement and optimize marketing efforts. Responsibilities include developing user acquisition methodologies, collaborating with product teams on growth strategies, managing experiments, and coaching junior team members while reporting on performance metrics to stakeholders.