Top Hybrid Data & Analytics Jobs in New York City, NY
As a Senior Data Scientist at Snap Inc, you will apply your quantitative analysis, data mining, and statistical modeling expertise to provide actionable insights, collaborate with product teams, and drive informed decision-making. You will design metrics, conduct statistical analysis, build scalable solutions, and communicate best practices within a collaborative environment.
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.
As a Senior Data Engineer, you will enhance data integration pipelines and maintain data quality within data lakes and warehouses. Collaborating with team members and stakeholders, you'll optimize data transformations and ensure the efficiency of systems. You'll also participate in code reviews and uphold coding standards while ensuring infrastructure security and data integrity.
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.
.png)
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.
Featured Jobs
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 Data Scientist, you will lead analytics projects, analyze user behavior, develop KPIs, conduct A/B testing, implement statistical models and machine learning algorithms, and collaborate with cross-functional teams to drive business impact and growth.
The People Analytics Analyst will enhance data-informed decision-making regarding workforce and business strategies, focusing on analytical reporting and the use of an HRIS system to improve People Analytics processes and communications within the organization.
The Principal Data Scientist is responsible for building data acquisition pipelines, utilizing various R frameworks for data processing and analysis, implementing data preprocessing techniques, executing machine learning models, generating visualizations, and deploying scalable models within the company’s infrastructure.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
See All
.png)
.png)
All Filters
No Results
No Results
