Top Senior Level Analytics Jobs in NYC, NY

As a Senior Data Analyst at Dandy, you will own high-impact revenue analytics problems, driving insights for customer retention and lifetime value. You will define data language, facilitate decision-making through BI tools, design A/B experiments, and mentor other analysts while collaborating with cross-functional stakeholders.

As an Emerging Risk Analyst, you will identify and mitigate credit-related risks by analyzing data, creating monitoring dashboards, and collaborating with stakeholders. Your responsibility includes designing data processing pipelines, monitoring emerging risks, and recommending policy improvements to safeguard loan portfolios.

The Senior Data Analyst in Finance will partner with the finance team to build and enhance reporting infrastructure, ensuring accurate company-wide metrics. The role involves collaboration with analytics and data teams to integrate data, create dashboards, and provide documentation/support to ensure effective data usage across teams.

As a Data Analytics Engineer, you will design and implement features and services for Electronic Trading. Your responsibilities include building data pipelines to manage large datasets for client analytics and regulatory reporting, mentoring teammates, and evolving technical standards within a collaborative team.

As a Senior Analytics Engineer, you'll architect and optimize data models for finance and product analysis, ensure data integrity, automate data processes, and collaborate with cross-functional teams to enhance data-driven decision-making.

As a Data Engineering and Analytics Manager at Spark Advisors, you will lead the data function, overseeing the development of a data warehouse, implementing data products, and mentoring your team. You'll work closely with various teams to ensure efficient data processing and provide insights through analytics infrastructures and dashboards.

The Senior Principal Data Scientist will work with the People Insights team to translate business needs into data-driven analytical projects, delivering actionable insights to drive decision-making. This role involves collaboration with various scientists and stakeholders, mentoring team members, and presenting complex analyses in an understandable manner to senior leaders.