Top Senior Level Analytics Jobs in NYC, NY

The Implementation Manager drives customer success by ensuring seamless enterprise customer implementations, enhancing customer satisfaction, managing project delivery, and providing technical expertise. Responsibilities include overseeing the implementation process, identifying opportunities for improvement, and collaborating with cross-functional teams to achieve project goals.

The Quantitative Researcher will develop systematic trading models for various markets, focusing on alpha idea generation and backtesting. Responsibilities include improving existing strategies, evaluating new datasets, and contributing to the investment process within a team-oriented environment.

The Credit Analyst will conduct in-depth credit research to identify investment opportunities across the High Yield market, analyze businesses and capital structures, develop thematic trade ideas, and monitor existing positions while maintaining external relationships for insights on issuers.

The Financial Systems and Data Analytics Lead will design and implement systems for financial data analytics while collaborating with various teams to automate accounting processes, enhance reporting, and support company growth in preparation for an IPO.

The TMT Strategist will monitor industry news in Technology, Media, and Telecommunications, seek expert advisors, create content, and moderate teleconferences. This role aims to provide actionable insights for buy-side clients, requiring strong analytical skills and effective communication with professionals at various levels.

The Legal Analyst will assist the Global Head of Healthcare in monitoring and reporting on patent litigations in the pharmaceutical and medical technology sectors. Responsibilities include conducting primary research, writing reports on litigation status, leading expert interviews, and analyzing relevant filings and news releases.

As a Senior Data Analyst at Aircall, you will provide insights to product and business teams, supporting initiatives in customer engagement and retention. Responsibilities include defining the analytics roadmap, influencing C-level decisions with data narratives, designing A/B tests, and collaborating with data engineers to enhance data practices.

As a Principal Data Analyst at Flex, you will identify trends and insights from various data sources to influence business strategy. Responsibilities include creating dashboards, collaborating with different teams, and ensuring data quality while supporting key analytics projects across the company.

The Sr. Researcher will generate insights for investment decision-making, conduct independent research, develop quantitative models, partner with clients on analytics, and present findings at industry events. They will also work with academics to test theories using portfolio data.