Top Analytics Manager Jobs in NYC, NY

Lead data-driven diligence and value-creation work for private equity and corporate clients. Manage teams and client accounts, perform complex analysis, develop predictive models and scenarios, build/maintain data pipelines and warehouses, improve data quality, and deliver visualizations and actionable recommendations using tools like Alteryx, Power BI, and Tableau.

Lead strategy and diligence analytics for TMT deals, manage client accounts and teams, develop data models and dashboards, and translate analytical findings into commercial strategy recommendations. Mentor junior staff, collaborate with specialists, and ensure high-quality, ethical delivery.

Lead strategic deposit pricing analytics focused on CDs, elasticity testing, deposit trends, yield-seeking behavior, and macroeconomic impacts. Serve as the subject-matter expert on CD data, translate findings into executive presentations, build automated self-service dashboards, and partner with finance, pricing, marketing, risk, product, and branch teams. Monitor competitor pricing and economic trends to inform retail banking product decisions.

Lead independent validation and governance of credit and fraud models, build automated Python monitoring for model drift and performance, drive remediation with model developers, and liaise with audit and regulators to support Affirm Bank's model risk management.

Lead marketing analytics: build and maintain dashboards, develop attribution and predictive models, ensure data quality and governance, run deep-dive analyses on campaigns and funnel performance, partner with marketing and finance to drive strategic recommendations and enable self-service analytics for stakeholders.

Lead analytics strategy and decision support, perform deep-dive analyses, build predictive and ML models, design experiments, create trusted reporting and dashboards, ensure data quality, partner cross-functionally, and influence product, growth, revenue, operations, and finance through evidence-based recommendations.

Develop relationships with software partners and clients, manage project delivery, and implement software solutions in various industries, focusing on sales planning and incentives operations.

Lead product vision, roadmap, and delivery for Product and Services Analytics. Drive requirements, prioritize backlog, partner with engineering on technical solutions, define KPIs, engage executives and stakeholders, mentor junior product staff, and guide go-to-market and documentation for analytics features in a cybersecurity context.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead a team to analyze large-scale datasets, build and validate models, improve reporting and operational efficiency, design data/storage systems, run strategic tests, and collaborate across business units to drive analytics strategy and customer experience.

Lead data analysis for merchants, manage projects to improve product and acquisition strategies, and communicate insights effectively.

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

Lead analytics engineering to design and maintain transformation layers, data models, and semantic layers. Ensure data quality, governance, observability, and single source of trusted metrics. Modernize reporting, support self-service analytics, collaborate across teams, review and test code, and leverage AI to improve analytics outputs.

Lead COBT go-to-market strategy, own marketing roadmap and channel strategy, oversee performance-driven marketing analytics and field engagement, partner cross-functionally, and manage a team of managers and analysts to drive growth, product, and credit-risk informed decisions.

Lead knowledge management strategy and roadmaps for machine-readable, RAG-ready content. Drive cross-functional adoption, run outreach and pilots, measure impact, guide analytics and engineering teams, ensure compliance, and manage timelines and stakeholder engagement to scale AI-enabled knowledge solutions.

Lead product analytics for the Retail Bank: define measurement frameworks, set OKRs, guide product teams with data-driven insights, prioritize roadmaps, manage delivery, grow and mentor product analysts, and partner across Product, Engineering, Data, Finance and Research to influence product direction and investment decisions.

Lead customer analytics engagements using advanced analytics, predictive modeling, and data visualization to drive client decisions. Manage project planning, budgeting, delivery, and mentor teams while building scalable data pipelines, ensuring data integrity, and collaborating with client leadership to identify improvement opportunities.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Lead complex data analytics projects for private equity and corporate clients across the deal lifecycle. Translate data into actionable insights using visualization and modeling tools, improve data quality, build predictive models, collaborate with cross-functional teams, coach staff, interact with clients strategically, and validate outcomes to drive deal decisions and performance improvement.

Lead and manage data and analytics initiatives for M&A and transactions, directing teams to build ML models, dashboards, and integrated data solutions using analytics and visualization tools, ensuring data quality, stakeholder alignment, and actionable insights to drive deal decisions.

Manages business reporting, modeling, and quantitative analysis for sales, provider success, vendor operations, and executive leadership. Interprets membership growth, claims, and revenue data; evaluates business processes and strategic initiatives; validates complex data using SAS and Excel; responds to ad hoc analytical requests; presents statistical findings to senior leaders; and reviews other analysts’ work.

Leads a complex business intelligence and analytics portfolio by managing intake, prioritization, governance, operating models, delivery milestones, OKRs, risks, dependencies, resources, and executive communications. Coordinates business, analytics, technology, and governance stakeholders to deliver scalable, compliant, production-ready initiatives and measurable outcomes.

Lead a small engineering team to build and manage the Core Analytics Data Access Platform, ensuring data security, scalability, and collaboration with AI and analytics teams.

Lead market strategy for AI across the platform: define positioning, messaging, and commercialization; drive GTM and launch readiness; provide market and competitive intelligence; influence product strategy and investment decisions; partner cross-functionally to drive adoption, measurement, and long-term customer value for AI-powered capabilities.