Top Analytics Manager Jobs in NYC, NY

Manage digital analytics instrumentation across web and mobile channels. Translate business goals into measurement specifications, define KPIs, oversee behavioral tagging, validate analytics implementations, troubleshoot tracking issues, and maintain data collection standards. Partner with marketing, product, engineering, and technology teams to ensure event data becomes reliable, analytically usable datasets. Prioritize defects and enhancements across multiple concurrent projects while communicating risks and recommendations to analytics leadership.

Leads analytics product strategy and AI solution development for Studio Distribution. Defines roadmaps, aligns data models and KPIs, prioritizes AI opportunities, and delivers scalable BI capabilities across distribution lines. Partners with business, product, engineering, finance, sales, and data science teams to improve commercial decision-making, data reuse, and adoption. Manages a globally distributed analytics product team and establishes delivery accountability.

Lead production cost and nodal market modeling to evaluate basis risk, congestion, curtailment, and long-term value. Support project siting, interconnection review, revenue forecasting, due diligence, and portfolio strategy. Build price forecasts, assess market and transmission changes, coordinate with internal teams and stakeholders, and represent the company in industry forums.

Lead design and delivery of AI and GenAI data solutions for Tax, including analytical modeling, prompt engineering, ML/NLP, Azure AI Services, LangChain, and RAG. Manage and coach teams, validate outcomes with clients, and translate raw data into actionable insights to drive business growth.

Lead design, development, and deployment of AI/GenAI solutions for Tax. Build end-to-end AI architectures using Azure AI Services and Python, apply ML/NLP and LLMOps, manage vector databases and agent systems, evaluate LLMs, and mentor project teams to deliver data-driven insights.

The Manager, People Technology & Analytics role involves overseeing HR technology systems, data governance, analytics, and improving operational efficiency through automation and AI solutions.

Leads workforce planning, staffing analytics, operational strategy, and process improvement. Manages and mentors a team, uses forecasting and operational data to anticipate staffing needs, identifies workflow gaps, develops scalable solutions and SOPs, and produces reports and recommendations. Partners with cross-functional operations teams, challenges decisions when necessary, drives process adoption through training and feedback, and oversees administrative functions supporting field staffing and scheduling.

Support CEO Office strategic and operational initiatives with focus on governance, ESG reporting, and AI transformation. Track cross-functional workstreams, document and improve governance processes, identify automation and AI opportunities, prepare leadership materials, and maintain momentum on OKRs and priorities while coordinating stakeholders and surfacing risks and dependencies.

Lead people analytics by building dashboards, reporting tools, and workforce models; analyze complex HR data to deliver insights to leadership; partner with stakeholders to set roadmap; improve data quality, governance, and adopt AI/ML for workforce analytics.

Lead GTM strategy and planning by advising revenue and executive leadership, turning Gong and CRM data into actionable insights, optimizing processes, designing scorecards/dashboards, and driving cross-functional initiatives to improve pipeline, productivity, and revenue outcomes.

Lead strategy and analytics for Emerging Payments: develop product and pricing strategies, run analytics and credit risk modeling, manage 1-2 analysts, drive marketing and experimentation, execute business requirements, partner cross-functionally, and communicate insights to senior stakeholders to improve growth and profitability.

Lead marketing analytics projects (MMM, attribution, digital analytics, pricing, forecasting), provide client-facing analyses and recommendations, manage and grow a team, and travel extensively to client sites.

The Business Manager focuses on using data to define and evaluate vacation rental inventory, overseeing supply strategies, and leading analysis for Capital One Travel's growth.

Lead and grow a team of data analysts to deliver recurring product analytics, partner with PMs and cross-functional teams, build AI-first analytical workflows, define metrics and standards, and present insights to senior leadership to drive product decisions.

Lead and scale a horizontal Business Analytics team supporting multiple operational functions. Define analytics strategy, build dashboards and KPIs, translate ambiguous questions into actionable insights, coach analysts to deliver recommendations, and adopt AI tools to improve team effectiveness. Communicate findings to senior leadership and partner with cross-functional stakeholders to influence strategy and execution.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Lead analytics-driven product, pricing, marketing, and credit risk strategies for lending products. Build and test models, manage 1-2 analysts, partner with IT, Sales, Operations and Finance, and deliver business requirements and programs to improve growth, profitability, and credit performance.

Lead multi-source strategic analysis across media, digital, audience and market intelligence. Uncover trends, build measurement frameworks, analyse campaign performance, and translate complex data into clear strategic recommendations. Partner with client teams, present findings to senior stakeholders, contribute to pitches, and explore AI tools to enhance research and insights.

Lead multiple engineering teams to design, scale, deploy, and maintain high-scale data plane infrastructure (Spark/Flink and Apache ecosystem) for real-time event processing. Hire, mentor, and grow platform engineering talent; collaborate cross-functionally to deliver scalable data platforms, hybrid cloud/on-prem solutions, and improve performance and reliability for Falcon platform.

Lead global Customer Success analytics strategy, architect data and health/adoption models, oversee data pipelines, deliver executive-level storytelling, mentor an analytics team, and drive cross-functional KPI alignment and self-serve BI adoption.

Develop and maintain BI dashboards and reporting (Power BI, Excel), analyze digital engagement, conversion funnels, and campaign performance. Provide actionable insights to Product, Marketing, Sales, and DTC teams, ensure data accuracy and governance, and support cross-functional analytics integration to optimize eCommerce and customer experience.

Lead social measurement and reporting, build performance dashboards, run experiments, and translate insights into data-driven content. Produce and edit social content, appear on camera, manage cross-platform campaigns, and connect social performance to business outcomes. Travel up to 50% for in-person events and collaborate regularly with Tri-State leadership.

Manages financial analytics and product delivery for pharmacy benefit clients, including RFPs, procurement projects, renewals, market checks, PBM contract reviews, financial modeling, reporting, and presentations. Analyzes pharmacy spend, utilization, trends, and cost drivers using proprietary tools and Excel. Leads peer reviews, manages project timelines, improves processes, and mentors and trains financial analysts and new employees.

Lead product, pricing, marketing and analytics strategy to drive growth and credit performance. Develop and test product and marketing strategies, build risk and pricing models, manage delivery of business requirements, mentor 1-2 analysts, and partner across IT, Sales, Operations and Finance to execute product strategy and marketing initiatives.

The Senior Business Manager for Product Analytics will lead strategic initiatives, manage product analytics, and drive improvements in product development by applying analytical skills and collaborating with cross-functional teams.