Top Senior Analytics Jobs in NYC, NY

The role involves developing and enhancing a strategic valuation and risk platform, integrating mortgage pricing analytics, collaborating with teams, analyzing performance, and delivering high-quality software in an Agile environment.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

Lead and innovate in ALM model development, collaborating with various teams to enhance quantitative strategies and mentor junior analysts.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Looking for a Senior Data Analyst to analyze large datasets, develop dashboards, optimize business performance, and mentor juniors. Requires strong SQL, Python, and data visualization skills.

The Senior Manager, Risk Analytics will build and own Upstart's risk analytics program, managing Key Risk Indicators, data models, and reporting infrastructure for enterprise-wide risk monitoring and compliance. They will collaborate with risk owners and conduct data aggregation and reporting, supporting risk assessments and regulatory requirements.

Lead digital measurement and analytics for ecommerce: build measurement frameworks, run attribution and predictive models, drive A/B testing and personalization, produce executive dashboards and actionable insights, partner cross-functionally to improve conversion, retention, and LTV.

The VP of Quantitative Analytics leads model development in mortgage insurance, utilizing advanced quantitative techniques and guiding junior analysts while collaborating across departments.

The VP in Market Risk Analytics will develop models for risk management, focusing on scenario design and stress testing, while enhancing processes with AI tools.

Lead measurement and experimentation for performance media accounts: design and validate statistically rigorous marketing tests, build reusable test frameworks, audit measurement work, perform spend optimization and regression analyses, partner with data engineering and media teams, and deliver executive-level insights to influence media investment decisions.

The role involves developing quantitative models for trading strategy and asset optimization, mentoring junior analysts, and collaborating across teams to enhance analytical capabilities.

The Workforce Planning Lead will manage workforce planning processes, develop quantitative models for forecasting, and collaborate with cross-functional partners to align headcount needs with business strategy.

The role involves developing quantitative models and strategies to enhance trading decisions, manage risk, and provide analytical support within investment banking, focusing on equity products.

The Associate will support portfolio analytics, focusing on evergreen vehicles and asset-level analyses to inform investment decisions and enhance portfolio management. Responsibilities include data-driven insights, risk analysis, and collaboration across firm teams to optimize performance and liquidity pacing.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

The Risk Analytics Senior Manager analyzes business problems, tests hypotheses with data, and communicates insights to senior management, focusing on credit risk policies.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead the Retention Analytics team by providing insights into subscriber journeys, data analysis for retention strategies, and managing a team of analysts.

The role involves analyzing fraud methodologies, executing data analysis, and influencing change through insights. It includes managing compromised credential risks and supporting data integrity.