Top Mid Level Data & Analytics Jobs in New York City, NY

As a Research Analyst, you will conduct in-depth research on small and mid cap securities, evaluate investment opportunities, and collaborate with the investment team on portfolio strategies. Responsibilities include monitoring market trends, communicating analytical findings, and supporting client relationship management.

As a Business Technology Solutions Associate Consultant, you will collaborate with client teams to develop and implement data governance solutions. Your tasks include translating business challenges into technical requirements, managing project plans, and communicating results effectively. You will also mentor junior team members and contribute to the development of governance assets.

The Senior Analyst will lead research and analytics projects, provide insights, mentor junior staff, create educational materials, and support growth within the team. Responsibilities include managing client relationships, conducting various analyses, and leveraging solutions-oriented approaches to research challenges, while adapting to changing team needs.

As a Risk Analyst, you will investigate entities and transactions, analyze data for risk signals, drive risk strategy and processes, and collaborate with various teams to support customers and reduce risk.

As a Senior Security Operations Analyst, you will enhance SOC capabilities through proactive threat hunting, incident response, and analytics in cloud and on-prem environments. You will optimize security processes, collaborate with teammates, and leverage your expertise in security frameworks and tools to defend against evolving threats.

As a Senior Data Scientist at January, you'll focus on developing machine learning models and improving debt collection processes. You'll work with cross-functional teams to optimize communications, build visualizations, and shape the company's data infrastructure while mentoring peers and enhancing team capabilities.

As a Senior Associate, you'll help organizations leverage data analytics to drive business results, improve operational effectiveness, and navigate risks related to financial crimes. You'll be involved in implementing data management applications and will focus on AML systems, statistical methods, and providing insights from complex data.