Top Analytics Jobs in NYC, NY

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leaders. The role requires strong independent analytical skills, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Leads fulfillment strategy and analytics, owning north-star metrics, experimentation strategy, product analytics, brand-growth analytics, and cross-functional strategic initiatives. The role translates complex analyses into leadership recommendations, ensures reliable instrumentation and measurement, coordinates analytical partners, and builds scalable processes and AI-enabled workflows. It requires strong strategic problem-solving, communication, product intuition, experimentation expertise, and advanced analytical experience across product analytics, consulting, or business operations.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

Leads analytics and measurement strategy for a major cruise-line client across brand, performance, media, and business outcomes. Responsibilities include designing full-funnel measurement frameworks, learning agendas, tests, and Brand Lift Studies; interpreting media and Media Mix Modeling results; presenting executive narratives and business reviews; partnering with data, technology, BI, and data science teams; and managing a Senior Analyst.

Own product analytics and growth measurement by partnering with product and design, defining metrics and event tracking, building dbt models and data pipelines, creating dashboards, and analyzing activation, engagement, retention, funnels, cohorts, and experiments. Establish trustworthy product data standards, identify product-market-fit indicators, surface insights, and influence roadmap decisions while collaborating with clinical and research analytics teams.

Manage data and analytics consulting projects, teams, stakeholders, and delivery phases from requirements through deployment. Lead hands-on SQL and Python development, data modeling, data warehouse design, and BI visualization using tools such as Tableau, Power BI, Snowflake, and Databricks. Facilitate client workshops and executive meetings, manage risks and budgets, ensure client satisfaction, and contribute to practice growth through mentoring, recruiting, and methodology development.

This 12-week graduate internship involves developing healthcare analytics frameworks, performing exploratory analysis and statistical modeling, analyzing complex datasets, and building predictive or prescriptive models. Interns may apply machine learning, NLP, and responsible AI techniques, create dashboards and visualizations, communicate insights to business and clinical partners, and document reproducible methods. The role is primarily on-site in Louisville or designated hub locations and focuses on improving healthcare quality, outcomes, affordability, access, and member experiences.

Leads Alteryx’s product telemetry and analytics function, including instrumentation, semantic-layer governance, self-service analytics, intake prioritization, capacity planning, and executive communication. Manages a team in India, develops talent, improves data adoption and trust, and partners with technical and business leaders to sequence platform work. The role requires expertise in product analytics, data architecture, analytics operating models, metric governance, and stakeholder enablement.

Leads a large marketing effectiveness analytics organization delivering dashboards, advertising and website analytics, survey analysis, ROI modeling, cross-channel measurement, and media effectiveness strategies. Owns client delivery, team performance, thought leadership, new business development, and department vision. Partners with clients and internal stakeholders, communicates complex insights, develops measurement roadmaps, and manages recruiting, retention, training, and career growth.

Leads analytics strategy and delivery for agency clients, ensuring high-quality insights, attribution, measurement, forecasting, and marketing optimization across media channels. Acts as the senior client contact, expands analytics engagements, manages scoping and profitability, and translates complex findings into actionable recommendations. Builds and mentors a high-performing analytics team while advancing data-driven decision-making, business intelligence, modeling, and customer insights.

Leads audience strategy and analytics engagements, translating business and media objectives into segmentation, profiling, CRM, lookalike, and opportunity-sizing insights. Analyzes first-party and syndicated data using SQL, Python, R, and research platforms; develops visualizations and recommendations; oversees custom audience solutions and external partners; presents findings to clients; and mentors analysts while advancing analytics methodologies, dashboards, training, and thought leadership.

Develops client analytics for pharmaceutical manufacturers by analyzing prescription, patient journey, and program performance data. Builds KPIs, dashboards, scorecards, funnels, cohorts, and trend analyses using SQL, data modeling, and Tableau. Translates complex findings into actionable client recommendations, supports business reviews, partners with account management and data engineering, improves data quality, and automates recurring reporting with AI-enabled analytics tools.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Leads advanced analytics initiatives supporting sales, marketing, and operations strategy. Develops statistical and predictive models, dashboards, KPI reporting, and customer analyses using large datasets. Partners with stakeholders and data engineering teams to translate business questions into actionable insights, communicates findings to executives, and mentors junior analysts.

Manages analysts and leads marketing analytics for digital and offline media channels. Develops measurement plans, experiments, dashboards, campaign reports, and optimization insights using marketing data. Presents recommendations to clients, supports media planning and new business pitches, ensures reporting accuracy, and advances analytics workflows through AI-enabled tools and automation. Requires strong web, social, SEM, dashboard, statistical programming, and marketing measurement expertise.

Leads advanced analytics for Airbnb’s Community Blueprint Quality team. Responsibilities include diagnosing customer experience issues, designing experiments, applying causal inference, developing metrics, using LLMs to analyze unstructured data, building dashboards and analytical artifacts, and translating complex findings into recommendations for senior leadership. The role partners cross-functionally with Product, Engineering, Data Science, Data Engineering, Operations, and Finance.

Lead analytics strategy across eCommerce, content, advertising, and live events. Partner with executives to turn complex data into actionable business recommendations, identify opportunities and risks, shape the analytics roadmap, and guide data investments. Manage and develop a team of three analysts while using AI, automation, scripting, statistical analysis, and BI tools to accelerate decision-making and improve business outcomes.

Analyze streaming engagement trends and drivers across content, subscribers, and products. Conduct ad hoc deep dives, develop engagement metrics, use SQL and visualization tools to synthesize large datasets, and communicate actionable insights through reports and presentations. Partner with Content, Product, Marketing, Programming, and other business teams to support audience understanding, content optimization, and retention decisions.

Ten-week Business Analytics internship analyzing and interpreting data to support decision-making across risk, trading, accounting, operations, and business development. The intern will use Python, SQL, and Power BI to improve data quality, streamline processes, build reports, propose analytics, and support reporting infrastructure while collaborating with cross-functional teams.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.

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 the analytics function and Strategic Insights Analysts, owning the analytics roadmap, KPI standards, self-service Looker strategy, and AI-driven automation. Partner with Product, Clinical Operations, Marketing, and Finance executives to prioritize analyses and guide strategic decisions. Build scalable operating models, deploy AI agents and LLM pipelines, improve data quality and monitoring, mentor the team, and translate complex analysis into actionable recommendations. The role requires onsite work in New York City four days per week.