Top Analytics Jobs in NYC, NY

Owns paid search measurement and analytics across Google, Microsoft, and emerging platforms. Responsibilities include incrementality testing, attribution reconciliation, anomaly detection, bidding and budget optimization, forecasting, pacing, reporting automation, and performance recommendations. Partners with marketing, finance, business intelligence, agencies, and senior leadership to establish measurement standards and guide investment decisions.

Leads development and ongoing management of an enterprise money movement fact base. Integrates payment, transaction, product, system, platform, operational, and roadmap data across business lines. Establishes data structures, taxonomies, governance, and quality standards; analyzes complex datasets; identifies optimization and modernization opportunities; and develops recommendations for strategy and investment decisions. Presents findings to senior stakeholders while overseeing enterprise money movement analysis and related requests.

Leads extraction, preparation, and analysis of web, media, research, and healthcare claims data. Identifies performance trends and optimization opportunities, integrates digital and real-world data, builds dashboards and reporting frameworks, and presents actionable insights to clients and stakeholders. The role also provides thought leadership on measurement, KPIs, data integrity, and responsible use of generative AI.

Analyze and integrate web, media, survey, research, and healthcare claims data to identify performance trends and optimization opportunities. Build dashboards, reporting frameworks, and executive presentations while translating complex datasets into actionable strategic insights. Collaborate with media, strategy, and client teams, ensure data integrity, and provide thought leadership on measurement, KPIs, and performance frameworks. The role also requires responsible use of generative AI and strong communication with senior stakeholders.

Own end-to-end analytics for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, establish metrics, build reports, conduct analyses and experiments, and deliver actionable recommendations. Partner with stakeholders to influence decisions and drive initiatives through execution. The role requires strong analytical problem-solving, independent data work, persuasive communication, and ownership of ambiguous business challenges.

Conduct competitive and strategic intelligence research across AI, technology, insurance, and financial services. Monitor emerging trends, funding, news, analyst reports, filings, and market activity; synthesize findings into updates, briefs, profiles, and deep-dive assessments. Build systematic AI-enabled research and reporting processes, identify partnership and product opportunities, and present actionable insights to technical, strategy, and senior leadership teams.

Own measurement strategy and instrumentation quality for web and mobile initiatives. Translate business goals into tagging specifications, KPIs, event schemas, and acceptance criteria; partner with marketing, product, engineering, and analytics teams; validate releases; troubleshoot tracking issues; govern data standards; and ensure behavioral data produces reliable, analytically accessible datasets and reporting.

Leads data strategy and analytics for digital media clients, translating complex measurement and modeling results into actionable marketing recommendations. Responsibilities include designing media experiments, managing custom analyses, supporting measurement roadmaps, owning client data technology stacks, developing clean-room insights, and presenting client-ready narratives. The role also mentors analysts, manages potential direct reports, collaborates cross-functionally, and advances analytics solutions and departmental capabilities.

Leads advanced marketing analytics initiatives, manages and mentors an analytics team, develops statistical and machine learning models, and builds marketing mix, attribution, forecasting, and campaign measurement frameworks. Partners with clients, account teams, Business Intelligence, Data Engineering, and vendors to translate business challenges into actionable insights and optimize media investment. Requires hands-on programming, data wrangling, regression, client communication, and leadership experience in an agency or consulting environment.

Leads marketing analytics for global clients by developing measurement frameworks, integrating data, generating consumer insights, and evaluating cross-channel performance. Partners with creative, media, strategy, planning, and business intelligence teams to guide marketing and communications decisions. Oversees, mentors, and develops analysts while managing multiple client-facing workstreams and applying storytelling and data visualization to business challenges.

Leads pharmacy and healthcare analytics projects, develops reporting frameworks, analyzes claims and utilization data, and delivers actionable insights for clients and leadership. The role translates complex findings into recommendations, ensures data quality and compliance, collaborates cross-functionally, presents results, mentors analysts, and improves analytical standards and processes.

Manage marketing analytics projects, measurement planning, data processing, statistical analysis, dashboard creation, and data storytelling. Mentor junior analysts, collaborate with clients and internal teams, and apply data science to improve marketing decisions and performance.

Performs audit-focused data extraction, analysis, and reporting using SQL, R, Python, SAS, Posit, and Snowflake. Supports internal and external audits, legal, compliance, and investigations by transforming complex datasets, identifying risks and trends, reviewing data models and process flows, and providing code feedback. Requires 5+ years of data analysis experience, a relevant bachelor’s degree, and strong querying and project management skills.

Own customer analytics and data infrastructure across Shopify, CDP, CRM, and data warehouse systems. Build segmentation, dashboards, retention and lifetime value analyses, and predictive models using SQL and Python. Ensure data quality, governance, identity resolution, and audience activation while partnering with marketing, CRM, ecommerce, merchandising, and leadership. Present actionable customer insights and recommendations to support personalization, campaign measurement, and business decisions.

Conduct quantitative research and pricing analytics for credit card installment products. Apply statistical modeling, econometrics, hypothesis testing, causal inference, and experimentation to evaluate pricing strategies, customer behavior, profitability, and policy effectiveness. Build scalable analytics processes, communicate insights to senior stakeholders, and partner with Finance and Marketing. Lead and develop analytics talent while evaluating responsible applications of artificial intelligence and automation.

Manage data and analytics projects from requirements gathering through planning, user testing, validation, and release support. Prioritize data features, develop project plans, coordinate stakeholder communications, ensure governance compliance, and support future data architecture and business capability planning. The role requires advanced experience with large datasets, Big Data platforms, Agile project management, data modeling, reporting, and cross-functional collaboration.

Manages a business analytics team that delivers insights, KPI reporting, trend analysis, data visualizations, governance, and actionable recommendations. Guides statistical analysis, data modeling, querying, experimentation, and self-service analytics while aligning practices with enterprise standards. Partners with leaders to identify opportunities and risks, improve data quality, drive analytics adoption, and support strategic and operational decisions. Oversees team performance, department projects, communications, and best-practice development.

Lead advanced analytics for Airbnb’s host incentive programs. Own measurement strategy, design and analyze experiments, apply statistical and causal methods, develop metrics and reporting tools, and analyze complex datasets. Partner with Operations, Data Science, Finance, and Product leaders to deliver actionable insights, evaluate incrementality and ROI, and guide program decisions. Present recommendations to senior stakeholders and use AI-assisted analytics to automate repetitive work.

Analyze personal loan product performance, customer behavior, funnel conversion, campaigns, and key performance metrics. Design measurement frameworks, identify tracking gaps, conduct root cause analysis, develop A/B tests, support analytics infrastructure, and create dashboards. Partner with Product, Engineering, Data Science, and Business teams to translate insights into product improvements and increased origination volume.

Leads marketing and enrollment analytics across acquisition and conversion funnels. Analyzes channel performance, ROI, attribution, forecasting, experimentation, and marketing mix modeling; develops recommendations for budget allocation and performance improvement. Uses Power BI, SQL, Python or R, and institutional and marketing datasets to build models, automate monitoring, identify anomalies, and support cross-functional decisions. Owns marketing measurement standards, data quality, tracking, and analytical roadmap while partnering with Marketing, Enrollment, Field, and Institutional Analytics teams.

Leads CookUnity’s Advanced Analytics function, setting strategy and partnering with Product, Finance, Operations, Marketing, and leadership. The role involves experimentation, causal inference, retention and growth analysis, marketing measurement, product impact evaluation, and translating insights into business decisions. This hands-on player-coach will guide complex analytical work, develop analysts, improve analytical rigor, and shape team structure and priorities.

Supports Somali-speaking learners in a fully virtual data analytics program. Responsibilities include answering questions, facilitating breakout rooms, holding office hours, reviewing materials, grading assignments, providing feedback, recording walkthroughs, monitoring learner progress, and escalating concerns. The role also requires supporting live sessions, communicating in Somali and English, attending onboarding and staff meetings, and submitting weekly progress reports.

Owns analytical projects across customer onboarding, transaction behavior, and platform operations. Designs dashboards, KPI frameworks, reporting workflows, and data pipelines while delivering actionable insights. Partners with Engineering, Product, Payment Operations, Compliance, and Finance; mentors colleagues; manages project scope and priorities; resolves ambiguity; and drives cross-functional alignment. Requires advanced SQL and data modeling skills, BI tool experience, analytical scripting familiarity, FinTech domain knowledge, and 4+ years of analytics experience.

Leads fraud analytics to identify fraud methodologies, root causes, compromise points, volumes, and financial or operational impacts. Develops advanced analyses and actionable remediation recommendations for internal teams and participating financial institutions. Manages compromised credential processes, including identifying exposed credentials, social tokens, and payment information, assessing risk, and applying appropriate treatments. Requires experience in analytics coding, digital banking or payments, fraud risk management, and communicating insights to influence organizational change.

Lead product analytics for Enterprise Data products, validating analytical tools, assessing methodology risks, researching emerging practices, and translating complex data into actionable insights. Manage validation projects, communicate findings through reports and presentations, and coach junior staff. The role requires advanced data analysis, statistical or econometric modeling, predictive analytics, large-dataset analysis, data governance, and people leadership.