Top Analytics Jobs in NYC, NY

Provide quantitative analytics consulting to clients by defining business information needs, identifying appropriate data, executing analytical plans, evaluating results, and communicating actionable findings. The role requires collaboration with clients, expertise in advanced modeling and analytics tools, familiarity with client processes, and the ability to lead teams and advise senior decision-makers.

Leads credit card acquisition analytics for U.S. consumer and small business portfolios. Manages data scientists and analysts, develops predictive models, evaluates marketing campaigns, shapes offer and targeting strategies, and translates customer and channel insights into measurable business outcomes. Partners with product and marketing leaders, communicates findings to senior stakeholders, and promotes experimentation, model governance, scalable reporting, and continuous improvement.

This internship develops quantitative analytics and financial engineering solutions for BlackRock’s Aladdin platform. Responsibilities include building financial risk models, applying quantitative techniques to investment and client-business problems, developing Python-based solutions, delivering actionable analytics, and collaborating with investment and business teams. Interns gain experience in financial markets, investment products, quantitative research, technology, and the Aladdin platform.

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

Supports client-focused data analytics projects within PwC’s Advisory practice. Responsibilities include analyzing datasets, researching information, developing data-driven insights, using Alteryx and Power BI to automate processes and create visualizations, developing algorithms, creating KPI dashboards, applying data mining techniques, and integrating data from multiple sources. The intern will learn PwC methodologies, collaborate with experienced professionals, and gain exposure to AI, cloud platform design, and data architecture.

Supports PwC Deals diligence analytics projects through data gathering, analysis, research, visualization, data mining, algorithm development, and preparation of reports and presentations. The intern will use Alteryx and Power BI, integrate data from multiple sources, develop data-driven insights for clients, and learn from advisory professionals while contributing to cloud, data architecture, and AI-related initiatives.

Supports business analytics and data-driven projects within PwC’s Assurance practice. Responsibilities include researching business challenges, analyzing data, identifying process improvements, developing business cases, modeling processes, gathering requirements, creating functional specifications, and supporting audit compliance and project management. The intern will collaborate with stakeholders, learn from experienced professionals, and contribute actionable insights for client engagements.

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.

Analyze People data to identify trends and actionable leadership insights, streamline reporting, build spreadsheets and dashboards, and prototype AI-driven automations for reports, anomaly detection, and data-quality checks. The intern will partner with stakeholders to improve self-service reporting and create executive presentations that communicate findings clearly. This is a 12-week summer 2027 internship.

Leads and scales the company-wide product analytics function, managing embedded analytics teams and aligning analytics roadmaps with business and P&L goals. Establishes standards for experimentation, data modeling, reporting, and data integrity; reviews complex analyses and experimental designs; and delivers executive-level insights. The role manages analytics leaders, develops talent, prioritizes high-impact initiatives, and remains hands-on with SQL, Python, root-cause analysis, dashboards, and advanced experimentation.

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.

Leads business analytics strategy, data infrastructure, product analytics, measurement frameworks, experimentation, and data-driven strategy for AI-powered customer assistance channels. Connects customer experience and operational efficiency outcomes while partnering with Product, Technology, Operations, and Finance. Manages and develops analysts, oversees concurrent projects, builds business requirements, and drives executive-level decisions supporting growth, profitability, and service improvements.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Lead digital analytics efforts to define OKRs, run A/B tests, analyze digital customer behavior, and deliver actionable insights to product, tech, and design partners to improve engagement and customer satisfaction.

Own end-to-end analytics for a business-critical function, including data models, pipelines, dashboards, and strategic insights. Partner with stakeholders and Engineering to establish scalable data foundations, guide experimentation and forecasting, and drive evidence-based decisions. The role also involves documenting analyses, shaping the data roadmap, and promoting a data-first culture across Operations, Engineering, Product, and Design.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

Develop and deploy analytical and AI-enabled tools integrated with the Aladdin platform to support portfolio construction, investment research, relative value analysis, risk budgeting, due diligence, and portfolio monitoring. Partner with portfolio managers and engineering teams to identify opportunities, prototype solutions, manage delivery, and productionize scalable applications. Communicate insights clearly while applying knowledge of financial markets, asset classes, Python, SQL, and modern technology stacks.

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.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

Lead infrastructure analytics for Banking & Wealth Management, building measurement, forecasting, optimization, and control frameworks for token/GPU/core infrastructure. Partner with technology and finance stakeholders to create forecasting models, self-service dashboards, KPI scorecards, data governance, capacity planning, and executive-ready materials to inform investment and operational decisions.

Analyze complex data, build self-service data solutions, and develop business intelligence tools, metrics, dashboards, and visualizations. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, definitions, security, and access governance. The role requires scripting, data querying, Snowflake development, business intelligence visualization, and experience with data management and governance.

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.

Leads the analytics function for media clients, developing measurement frameworks, attribution models, dashboards, and actionable insights. Advises senior clients, translates complex data into strategic recommendations, supports business development, and partners with media, strategy, creative, and technical teams. Manages and mentors analytics professionals while overseeing reporting quality, first-party data applications, marketing mix modeling, multi-touch attribution, and performance measurement across digital and retail media channels.