Top Senior Analytics Jobs in NYC, NY

Leads advanced econometric, microsimulation, forecasting, causal inference, and policy-impact modeling for NYC policies and investments. Develops reproducible R-based analytical workflows, validates models, analyzes complex datasets, and communicates findings to technical and nontechnical stakeholders. Oversees complex research projects, mentors staff, collaborates with agencies and external partners, and translates quantitative results into policy recommendations.

Analyze and optimize marketing campaign ROI across channels, evaluate app and partner data, conduct funnel, cohort, attribution, and retention analyses, and develop actionable recommendations. The role requires Marketing Mix Modeling, Multi-Touch Attribution, forecasting, segmentation, and statistical analysis. The consultant will collaborate with product, analytics, engineering, and marketing stakeholders to define measurement strategies, build reporting mechanisms, and translate complex data into business insights that improve adoption, retention, revenue, and campaign effectiveness.

Analyze marketing and customer data to measure campaign impact, uncover customer insights, and improve marketing ROI. Build Tableau dashboards, write and optimize SQL queries, conduct segmentation and lifecycle analysis, validate data quality, and provide actionable recommendations. Partner with marketing, product, and analytics stakeholders to translate business needs into analytical solutions and support strategy across channels, including spend allocation, targeting, attribution, and campaign effectiveness.

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.

Leads data analytics projects that generate insights for strategic decision-making. Develops visualization solutions with Power BI and Tableau, builds data pipelines, applies statistical modeling and predictive analytics, and manages data integrity and security. Collaborates with clients on tailored data solutions while coaching analytical teams, managing accounts, overseeing project success, and identifying business opportunities.

Leads and scales the Growth Product Insights data practice, managing and mentoring data analysts while contributing hands-on analytical work. The role drives proactive insights, experimentation, causal inference, cohort modeling, KPI development, and strategic recommendations for product and growth leaders. It also strengthens data quality and metric governance, partners with engineering teams on complex pipelines and event data, and integrates modern analytics and generative AI tools into team workflows.

Lead analytics support for Fetch’s Food and Beverage vertical, serving as the primary analytics partner for Sales and client stakeholders. Own sub-vertical partnerships, manage analytic capacity, answer senior-level client questions, and guide campaign strategy. Use SQL to manipulate data, develop actionable insights, support QBR storytelling, and communicate recommendations to technical and non-technical audiences. Represent analytics cross-functionally and automate insights using AI-enabled tools.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

The Senior Associate, Analytics develops and manages digital media analytics projects, structures data and queries, builds spreadsheets and visualizations, and translates findings into clear client recommendations. The role requires project ownership from planning through delivery, stakeholder communication, and experience with media buying platforms, ad servers, SEO, demand-side platforms, market mix modeling, Excel, SQL, and visualization tools.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Own marketing analytics reporting and business reviews supporting go-to-market investment decisions. Translate business questions into actionable analyses, partner with marketing, sales, finance, product, customer success, and analytics engineering teams, and improve dashboards and reporting tools. Analyze campaign performance and business trends, contribute to data modeling, and independently manage analytics workstreams using SQL, Python, BigQuery, dbt, and Looker.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, experimentation, campaign reporting, retention analysis, churn modeling, and segmentation. Partners with Marketing and Finance to establish performance goals and translate complex data into actionable recommendations. Automates reporting using analytics platforms, marketing automation tools, experimentation methods, and AI-enabled workflows while identifying opportunities to grow and retain high-value consumers.

Lead insurance risk analytics engagements for property and casualty carriers. Responsibilities include product demonstrations, regulatory filing guidance, pilot and proof-of-concept design, loss ratio and model validation analysis, client project management, discovery sessions, and translating insights for actuarial, underwriting, and executive audiences. The role also develops AI-assisted workflows and provides customer feedback to product teams.

Analyzes healthcare claims, provider reimbursement, QPA, and dispute data to support No Surprises Act negotiations, arbitration, and OON liability management. Builds SQL-based reports, dashboards, data processes, and financial views; validates data quality; tracks dispute KPIs; integrates internal and external sources; and presents actionable recommendations to leadership and cross-functional stakeholders.

Leads product analytics initiatives by structuring ambiguous business problems, developing analytics frameworks, translating insights into business recommendations, and prioritizing roadmaps based on value, feasibility, and risk. Partners with business stakeholders and Data Science teams, reviews analytical methods and outputs, communicates executive-ready recommendations, manages delivery risks, and measures business impact. The role requires strong stakeholder management, strategy consulting experience, SQL and Python proficiency, and project leadership.

Own customer analytics and data infrastructure across Shopify, CDP, CRM, and cloud data warehouse systems. Build segmentation, dashboards, retention and lifetime-value analyses, and predictive models using SQL and Python. Maintain data quality, identity resolution, governance, and audience activation while partnering with marketing, ecommerce, merchandising, and CRM teams. Present actionable customer insights and recommendations to technical and executive stakeholders.

Leads marketing analytics and end-to-end measurement across growth marketing, including dashboards, pipeline attribution, ROI, CAC, LTV, forecasting, budget analysis, experimentation, and data quality. Partners with Marketing, Finance, RevOps, and BI teams to connect spend with pipeline and revenue. Uses AI, machine learning, predictive modeling, and automation to improve reporting, attribution accuracy, insight generation, and investment decisions.

Lead marketplace and product analytics for Lyft’s Central Market Management organization. Develop analytical frameworks, business models, and recommendations that influence strategy, product roadmaps, and growth. Analyze trends, identify opportunities, communicate insights to senior leaders, and partner with Data Science, Product, Engineering, and other teams. The role requires strong SQL, data analysis, strategic problem-solving, storytelling, and cross-functional influence.

Leads operational analytics for the Take 5 Oil Change network, translating transactional and market data into insights that improve sales, profits, volume, and shop performance. Responsibilities include complex analysis, KPI reporting, dashboards, executive presentations, operational initiative measurement, stakeholder collaboration, data-quality improvement, and mentoring analysts. The role requires strong Excel, SQL, financial modeling, communication, and multi-shop operations experience.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Leads subscription analytics across acquisition, engagement, retention, churn, win-back, and lifetime value. Defines subscriber metrics and governance standards, conducts advanced SQL analysis, and translates consumer and revenue data into strategic recommendations for marketing, content, product, pricing, and finance. Manages two analytics leaders, partners with data engineering and cross-functional teams, and presents executive-ready insights supporting FOX Nation and future subscription services.

Lead GTM analytics across performance measurement, channel economics, data governance, forecasting, planning, and executive reporting. Own metric definitions, data standards, analytical priorities, and business requirements while partnering with Marketing, Data Science, Finance, RevOps, and Engineering. Analyze funnel, attribution, CAC, payback, conversion, retention, pipeline, and territory performance, translating findings into investment recommendations and strategic decisions for senior leadership.

Supports provider business development through bundled-payment pricing analytics, financial modeling, and strategic analysis. Builds and refines analytical tools and datasets, develops models for new healthcare bundles, supports provider negotiations, and partners with data science and engineering teams on optimization and data infrastructure. Requires healthcare knowledge, quantitative skills, cross-functional collaboration, and the ability to manage multiple priorities in a fast-paced remote startup environment.