Top Data & Analytics Jobs in NYC, NY
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.
As a Senior Data Engineer at Capital One, you will design and develop data pipelines and cloud-based solutions using Python and AWS technologies. Collaborating with agile teams, you will implement and support scalable applications while mentoring peers and staying updated with tech trends.
As a Senior Lead Data Engineer at Capital One, you will lead a team to design and develop technical solutions, focusing on big data technologies and cloud computing. You will collaborate across Agile teams, build machine learning applications, and ensure robust cloud-based solutions that enhance customer experiences. You will also mentor junior team members and stay updated on tech trends.
As a Senior Data Engineer at Axio, you will collaborate with cross-functional teams to build data products, automate data processing through pipelines, lead the deployment of data science models, and architect data infrastructure to support evolving data products.
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.
As a Decision Analytics Consultant, you'll analyze healthcare data, particularly from Electronic Health Records (EHR), to extract insights that enhance decision-making and patient care. You'll collaborate with healthcare providers to identify their data needs and communicate actionable insights effectively.
As a Decision Analytics Associate Consultant, you will develop advanced statistical models, leverage analytic techniques using tools like R and Tableau, and communicate results to clients. You'll be responsible for building client relationships, providing project updates, and mentoring team members while advancing analytical capabilities at ZS.
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As a Senior Data Analyst at Disney, you will analyze data for streaming services, collaborating with product and engineering teams to ensure data quality and derive insights. Your role includes translating stakeholder queries into data requirements, providing actionable recommendations, and performing A/B tests to enhance content security.
Lead a team of data scientists in developing machine learning models to enhance subscription and monetization strategies across Disney's streaming platforms. Collaborate cross-functionally to analyze data, derive insights, and translate findings into actionable business strategies, while mentoring team members to foster a learning environment.
As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms and personalization techniques for Disney's streaming services. This role involves collaboration with cross-functional teams to achieve strategic product goals, management of algorithmic work, and maintenance of production-level systems.
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.
The Compensation Analyst will support analytics, planning, administration, and implementation of compensation benchmarking and structure, collaborating with HR, recruiting, and management. Responsibilities include preparing reports, assisting in budget processes, conducting pay equity analyses, and enhancing compensation capabilities.
As a Quant Researcher, you will develop data solutions for trading and data businesses, enhance products using proprietary platform data, analyze bond market activity, manage research models, and collaborate with product teams to create trading solutions.
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 Senior Analyst, FP&A at Tapestry will oversee monthly close activities, quarterly reforecasting, and annual planning. They will manage financial forecast models, analyze P&L variances, streamline FP&A processes, and support business case analyses while ensuring accurate financial data presentation.
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As a Data Engineer at Canoe Intelligence, you will design and develop scalable data systems, contribute to the growth of the Alts Data Platform, and work closely with AI/ML engineers. Responsibilities include implementing data models and pipelines, collaborating with cross-functional teams, and ensuring operational excellence.
The Compliance Analyst ensures adherence to legal and internal regulations by developing policies, conducting audits, and implementing compliance procedures across departments. The role involves managing risk assessments, employee training, and regulatory documentation to ensure compliance within the organization.
Lead and motivate a team of six data engineers, managing project timelines and deliverables while collaborating with product management to define technical projects. Oversee the design and development of the data platform, mitigate risks, and promote a culture of growth and innovation.
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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.
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