Top Analytics Manager Jobs in NYC, NY

Lead development, validation, deployment, and quality control of advanced analytics and ML solutions for fraud detection, waste and abuse, investigative analysis, and program integrity. Provide technical leadership, translate stakeholder requirements, mentor team members, and ensure models are explainable, defensible, and production-ready.

Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.

Lead supply-and-demand forecasting for the psychiatry service line: build and maintain S&D models, integrate models into core data infrastructure, define operational metrics (capacity, clinician utilization, hiring targets), run forecast vs. actual audits, and partner cross-functionally to guide hiring, resource allocation, and operational improvements.

Lead the modeling, forecasting, and analytics for go-to-market strategy. Collaborate with Sales and Finance on strategic revenue forecasts and actionable insights.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Senior Business Manager for Sales Analytics will lead strategic initiatives, manage teams, and drive growth and profitability through data-driven decision-making, product development, and marketing strategies while overseeing projects and partnerships across the company.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Translate web and marketing behavior data into actionable insights: measure website and marketing performance, analyze funnels and journeys, design and evaluate A/B tests, build reports and dashboards, monitor analytics integrity, and partner with cross-functional teams to define measurement and optimization opportunities.

The Senior Manager, Data Science & Analytics will lead the analytics strategy for client engagement, focusing on data-driven insights and marketing performance to assist in customer acquisition efforts.

Manage and grow an analytics engineering team while designing, building, and maintaining scalable ELT pipelines, dimensional data models, and reporting solutions. Partner with cross-functional teams to deliver high-quality, documented data products, uphold data quality, and drive adoption of self-service analytics.

Lead paid media analytics for performance marketing: build SQL-based reporting and Power BI dashboards, validate agency/platform data, run deep-dive diagnostics across paid channels, support experimentation and MMM inputs, and provide actionable media investment recommendations to improve lead quality and enrollment outcomes.

Own and build customer health, usage/adoption, and product configuration data models. Produce ad-hoc and recurring analyses to identify upsell/expansion opportunities, partner with CS, Sales, Product, and Data teams, and present actionable insights to leadership to drive revenue-relevant actions.

Lead marketing AI deployment and measurement: identify and prioritize AI opportunities, manage cross-functional rollouts, build attribution and KPI reporting in Power BI, improve data architecture and quality, run journey and lead-scoring analyses, and shape GTM tools and processes to optimize pipeline and revenue.

Own and scale the finance and accounting data ecosystem: design and maintain BigQuery integrations, ensure data integrity and governance, build reconciliations and automated controls, develop scalable reporting and dashboards, support monthly close, forecasting, budgeting, and automate finance processes to improve visibility and efficiency.

Lead end-to-end analytical initiatives on partner enrollment funnels, ensure data quality, build reporting pipelines with BI/engineering, use AI-assisted tools to accelerate analysis, translate insights into strategic recommendations for leadership, and coach growing analytics team members.

Lead identification and quantification of issuance leakage across acquisition, application, approval, and funding funnels. Analyze digital customer journeys and conversion gaps, run root-cause diagnostics, design experiments, build executive dashboards, and translate findings into prioritized, quantified business recommendations partnering with Product, Marketing, Credit Risk, Operations, and Engineering.

Own and execute marketing operations and analytics: manage martech systems and integrations (Marketo, 6sense, webinar tools), build and QA campaigns, develop reporting and Power BI dashboards, analyze funnel and ABX performance, refine attribution and scoring, and create scalable workflows, documentation, and enablement for global and regional teams to drive measurable GTM improvements.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Lead product strategy and roadmap for the Wealth Management Data Cloud and manage key data capability projects. Coordinate cross-functional delivery, define product requirements and success metrics, drive stakeholder engagement and adoption, ensure data governance and quality, and manage prioritization, risks, and execution to deliver business value.

Lead strategy, delivery, and ongoing management of CRM, client intelligence, and analytics platforms for Institutional Equities. Define roadmaps, translate requirements into product backlogs, measure success via KPIs, ensure data governance and controls, manage offshore team delivery, and partner with engineering and analytics to enable scalable reporting, AI evaluation, and regulatory compliance.

Lead analytics for Community Marketing programs: define measurement frameworks, build Power BI dashboards, run analyses across referrals/events/COI, deliver executive insights, forecast leads/opportunities, and partner cross-functionally to optimize program performance and reporting.

Lead a distributed analytics team to turn ambiguous marketing and fan questions into scoped analyses, predictive models, segmentations, and A/B tests. Partner with marketing, BI, and data engineering to define KPIs, ensure data quality, apply GenAI-assisted workflows, and present results to Director- and VP-level stakeholders.

The Manager of Analytics Development leads a team to innovate and maintain applications within analytics technology, focusing on cloud migration and performance improvements for financial services.

Own CRM analytics, reporting, segmentation, attribution, and data quality for email, push, in-app, and SMS across multiple FOX brands. Write and troubleshoot SQL against Snowflake/Braze, build attribution models, audit segments, support experimentation, and deliver insight-driven executive summaries to marketing and editorial stakeholders.