Top Analytics Manager Jobs in NYC, NY

Lead performance marketing for Book Fairs to grow revenue per fair, Scholastic Dollars redemption, Share The Fair participation, and eWallet adoption. Develop multi-channel growth campaigns (email, paid media, SMS, influencers), run creative tests, collaborate cross-functionally, analyze performance to optimize spend, and scale innovative channels and programs.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

Own the company-wide view of revenue performance across marketing, sales, member engagement, clinical capacity, billing, collections, and finance. Use SQL, BI tools, forecasting, and cross-functional analysis to identify risks, reconcile conflicting metrics, improve reporting and data quality, and drive operational decisions. Partner with Finance, Technology, and department leaders to establish trusted metrics and improve revenue forecasts, growth analytics, and revenue cycle performance.

Leads marketing reporting and analytics by building performance dashboards, analyzing campaign effectiveness, monitoring data quality, defining KPIs, and delivering actionable insights. Partners with consumer marketing, finance, strategy, data engineering, and Martech teams on forecasting, budget diagnostics, optimization, and enterprise initiatives. Presents analyses and business recommendations to executive stakeholders while enabling marketing teams to use self-service insights tools.

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.

Leads consultative sales of research and analytics solutions to academic institutions across the United States. Responsibilities include meeting sales targets, developing pipelines, expanding existing accounts, acquiring new business, designing value-added solutions, presenting to senior stakeholders, forecasting, negotiating, and collaborating with account managers and cross-functional teams. The role is remote with travel of up to 50% within the United States.

Leads analytics for subscription growth, partnerships, channel performance, retention, profitability, and promotional effectiveness. Conducts deep-dive analyses and A/B tests, uses SQL and BI tools to identify performance drivers, and translates complex data into executive-ready recommendations. Partners with Growth, Strategy, Business Development, FP&A, Product, Marketing, Finance, and Operations stakeholders to support strategic decisions without owning forecasting or deal modeling.

Lead marketing strategy, analytics, and GTM operations for Twilio.org’s Social Impact team. Build investment proposals, ROI models, attribution frameworks, account-tiering logic, automated marketing triggers, executive scorecards, and pipeline-generation programs. Partner with marketing and data science leaders to optimize budgets, campaigns, routing, and commercial performance. Maintain Looker, Tableau, Salesforce, and analytics infrastructure while modernizing SQL-based reporting and data quality processes.

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.

Leads analytics for SEO, AI search, website experience, CRO, and the organic enrollment funnel. Diagnoses performance across traffic, visibility, conversions, leads, applications, and enrollments; designs measurement approaches; reconciles web, search, CRM, and platform data; defines KPI and reporting requirements; and translates findings into executive recommendations. Partners with analytics and engineering teams to build scalable Databricks-based reporting and improve measurement of organic and AEO initiatives.

Own and build the AI Simulation marketing operations and analytics function, including martech architecture, campaign instrumentation, attribution, funnel reporting, lifecycle programs, lead scoring, data governance, and Salesforce integrations. Partner with Marketing, RevOps, Sales, Finance, and Product to establish trusted measurement, connect marketing activity to pipeline and revenue, and improve investment decisions through reporting and actionable insights.

Leads client and sales analytics supporting go-to-market strategy, segmentation, campaign targeting, sales coverage, and advisor prioritization. Develops dashboards, data products, and business intelligence solutions using modern analytics tools. Partners with distribution, marketing, product, data science, and technology teams to translate business questions into scalable solutions, influence executives, and drive adoption of data-driven decisions.

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 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.

Leads CHANEL’s US People Analytics and AI enablement strategy. The role develops workforce dashboards, predictive models, employee listening insights, data governance, and self-service analytics. It defines responsible AI use cases, builds automations, improves HR data literacy, and partners with People Operations, HRIS, Technology, Finance, HRBPs, and global teams to support evidence-based workforce decisions and a future-ready HR operating model.

Leads peer review of actuarial and statistical analyses, evaluates models and assumptions, manages client engagements, and translates risk analytics into business guidance. Oversees risk financing and insurance analyses involving Monte Carlo simulations, loss distributions, and retained-loss volatility. Presents findings to executives, develops analysts through feedback, improves analytical workflows, and supports client relationships and growth.

Leads a team of data analysts supporting Marketing, Digital, Customer, and DEI functions. Oversees dashboards, reporting, advanced analytics integration, data requirements, quality assessment, visualization, and business insights. Partners with Data Science, Data Engineering, Technology, business units, and vendors to translate requirements into actionable solutions and drive analytics adoption. Coaches analysts, manages priorities, and supports strategic use cases using SQL, Python, cloud data platforms, experimentation, and business intelligence tools.

Manage and support analytics initiatives, mentor analysts, prioritize business-critical projects, and develop scalable data processes. Conduct data modeling and analysis, maintain data quality, automate workflows, and translate complex findings into actionable recommendations. Partner with product managers, business leaders, clients, and executives to advance data-driven decision-making while supporting compliance, reporting standards, and stakeholder needs.

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

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

Leads data analytics and business intelligence strategy, mining large datasets, building and validating models, improving processes and reporting, evaluating products and initiatives, and consulting on data systems. Manages and mentors junior analysts, collaborates across business units, and oversees projects from inception through completion. The role requires advanced analytical, programming, communication, leadership, and problem-solving skills.

Manage DTC analytics, reporting, dashboards, KPI measurement, A/B testing analysis, and ecommerce performance tracking. Query and analyze data using SQL and BI tools, automate reporting, identify business drivers, and translate findings into actionable recommendations. Partner with Product, Engagement, CX, Distribution, Finance, and senior stakeholders to improve decision-making, challenge assumptions, and shape analytics strategy. Apply AI tools to streamline analysis and reporting processes.

Manage DTC analytics by building KPI reporting, dashboards, A/B testing analyses, and automated tools across the customer journey. Translate data into actionable recommendations, identify business and customer drivers, improve ecommerce performance measurement, and serve as a trusted thought partner to DTC, Product, Engagement, Distribution, Finance, and senior stakeholders. The role requires strong SQL skills, BI platform expertise, business judgment, storytelling, and effective communication.

Lead compensation analytics and AI strategy to transform compensation data into insights, tooling, and forecasts. Own market benchmarking, total comp budget forecasting, competitive intelligence, and partner with Finance and senior leaders on compensation design and equity modeling while ensuring data governance and privacy.

Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.