Top Hybrid Analytics Jobs in New York City, NY
The Billing Operations Analyst will ensure timely and accurate invoicing for Snapchat, collaborate on improving billing and collections processes, support accounts receivable leads, perform cash applications, billing reconciliations, and assist with month-end processes while aiming to meet departmental collection goals.
As a Group Analyst at Snap Inc, you'll support the Sales team by providing real-time analysis for auction campaigns, identifying performance trends, and offering data-driven upsell recommendations. Collaborating with cross-functional teams, you'll help build measurement strategies and insights, and support clients throughout the RFP process, aiming to optimize campaigns and improve workflows.
The Senior Analytics Engineer will create data marts, work with data engineers and stakeholders for data insights, and develop high-visibility reports and dashboards. They will leverage analytical techniques to improve decision-making within the company while ensuring data quality and accessibility.
The Analyst, Revenue Strategy supports the sales team with reporting, forecasting, RFP analysis, and competitive analysis. Responsibilities include delivering revenue trends, assisting in strategy planning, and building reporting tools to consolidate performance insights.
The Senior Yield Analyst will analyze KPIs related to ad health and performance, investigate fluctuations in advertising metrics, provide data-driven insights for business decisions, collaborate with stakeholders, and work on initiatives to improve ad yield.
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As a Data Analyst, you will support patient experience teams by conducting analyses, measuring product performance, and building business intelligence solutions. You will leverage data to inform strategies and guide decision-making across various cross-functional teams, while also communicating insights and recommendations to stakeholders.
In this role, you will lead analytics efforts for Growth teams, optimizing strategies for customer acquisition and retention. Responsibilities include managing data pipelines, conducting deep analyses, designing experiments, enhancing analytic capabilities, and overseeing Growth-related projects. Your work will drive data-driven insights that influence marketing and product investments.
The Analytics Engineer will enhance the data capabilities of analysts and stakeholders by architecting data models, building data pipelines, improving data governance, and providing training. Key responsibilities include monitoring data health, developing analytic frameworks, and standardizing data processes across various domains like growth and finance.
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The LME Legal Analyst will review leveraged finance and high yield documentation, produce analyses on distressed scenarios, answer client queries about covenant packages, and use proprietary technology to enhance restructuring databases. The role involves delivering seminars and representing 9fin at industry events.
The Senior Business Analyst at Capital One Shopping is responsible for analyzing business challenges, performing product modeling, supporting marketing efforts, and enhancing credit risk strategies. The role requires collaboration across various teams to implement improvements and drive business growth through strategic and analytical insights.
The Outsourced Chief Investment Office Analyst will support clients by understanding investment plans and working with Senior Portfolio Managers on investment reviews and tactical asset allocations. Responsibilities include business development support, relationship management, and learning the investment platform. Strong analytical skills and the ability to work with cross-functional teams are essential.
The Collateral Eligibility Business Architect VP will drive governance and business integration of J.P. Morgan’s Collateral Eligibility Service, focusing on data management, process improvement, and innovation in collateral efficiency for liquidity and transaction management.
As a Senior Associate Data Scientist, you will analyze data to support Business Banking strategy, develop data-driven solutions, and ensure data quality for decision-making. Responsibilities include statistical analysis, data processing using Python and SQL, and maintaining data integrity within various project phases.
The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.
As a Senior Research Scientist at Kensho, you will develop innovative solutions in Machine Learning and NLP, focusing on complex tasks like long-context QA and document extraction. Collaborate with a team to enhance existing models, create evaluation benchmarks, and engage in academic partnerships, all while utilizing advanced computational resources.
The Analyst role in Consulting Services focuses on client engagement for Marketing Solutions, leveraging analytics and quantitative analysis to provide insights. Responsibilities include conducting data investigations, visualizing findings, and helping clients understand data relations to business objectives.
The Director of People Analytics will lead a team to transform data into insights that enhance business strategies. Responsibilities include integrating analytics into operations, mentoring analysts, and collaborating with executives on data-driven decision-making regarding employee lifecycle metrics and organizational health.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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