Top Senior Analytics Jobs

Perform deposit pricing and portfolio analytics using large financial datasets. Analyze customer behavior, balance migration, product performance, pricing effectiveness, growth, mix, margins, and profitability. Develop recurring analyses, scenario models, and impact assessments; ensure data quality and governance; and present actionable insights to senior leadership. Collaborate with pricing, product, strategy, and analytics teams to support portfolio optimization and strategic rate decisions.

Analyzes deposit pricing, portfolio performance, customer behavior, balance migration, product outcomes, and profitability. Develops recurring, ad hoc, scenario, and business-impact analyses using large datasets. Partners with pricing, product, strategy, and analytics teams, creates leadership-ready visualizations and recommendations, and ensures data quality, documentation, governance, and analytical rigor.

Leads development, implementation, documentation, and governance of statistical, predictive, and machine learning models for auto finance. Develops solutions for risk assessment, loss forecasting, pricing optimization, and portfolio performance. Advises senior leaders, partners with risk and governance teams, supports validation and regulatory compliance, and communicates analytical recommendations to stakeholders.

Drive deposit pricing and portfolio analytics by analyzing large customer and account datasets, evaluating pricing and product strategies, developing scenario and impact analyses, and monitoring portfolio performance. Create recurring and ad hoc reports, visualizations, and leadership presentations while ensuring data quality, governance, and analytical rigor. Collaborate with pricing, product, strategy, and analytics teams to translate findings into business recommendations.

Leads complex statistical, predictive, and machine learning model development for auto finance, including collections, pricing, credit risk, fraud, loss forecasting, and portfolio optimization. Provides quantitative guidance to senior leaders, partners with risk and governance teams, supports model validation and regulatory compliance, and presents analytical recommendations to stakeholders.

Performs deposit pricing, portfolio, customer behavior, and profitability analytics for consumer and small business banking. Analyzes large datasets, develops scenario and impact assessments, tracks portfolio performance, and creates recurring and ad hoc reporting. Partners with pricing, product, strategy, and analytics teams to deliver visualizations, recommendations, and leadership presentations while ensuring data quality, governance, and analytical rigor.

Performs deposit pricing and portfolio analytics for consumer and small business banking. Analyzes large datasets to evaluate customer behavior, balance migration, product performance, pricing effectiveness, portfolio health, growth, mix, and profitability. Develops scenario analyses, recurring reports, visualizations, and leadership presentations while ensuring data quality, governance, and analytical rigor. Collaborates with pricing, product, strategy, and analytics teams to support strategic decisions and portfolio optimization.

Leads People Analytics consulting engagements that help HR and business leaders make workforce decisions. Frames business questions, guides quantitative analysis, develops actionable recommendations, presents findings to executives, and measures adoption and impact. Partners with HR Business Partners, promotes governed self-service analytics, and ensures responsible use of employee data and AI. Requires fluency in SQL and analytics tools, plus expertise in workforce topics including retention, engagement, performance, planning, and organizational effectiveness.

Provides analytics-driven strategic advice for mergers, acquisitions, and other transactions. Responsibilities include analyzing contract data, developing algorithms and predictive models, integrating data sources, building pipelines, creating dashboards, validating data integrity and security, and identifying risks and compliance indicators. The role also involves client collaboration, mentoring junior staff, and delivering data-driven insights using Python and machine learning.

Analyzes complex small-business card portfolio and customer behavior data to generate insights for marketing, finance, product, and risk decisions. Builds executive reporting and dashboards, applies statistical and data-mining methods, advises stakeholders, improves data quality and analytics processes, and pilots generative AI solutions to automate workflows and enhance performance measurement.

Leads a marketing analytics team responsible for evaluating campaign performance, delivering in-flight and post-campaign insights, and optimizing marketing effectiveness. Partners with stakeholders and senior leaders, oversees statistical modeling and experimentation, analyzes complex datasets, manages resources, and develops analytical capabilities. The role also mentors direct reports, improves data and technical processes, and translates findings into actionable marketing strategies.

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.

Design, develop, deploy, document, and monitor financial models using statistical and machine learning techniques. Build scalable finance data pipelines, interactive dashboards, and visualization tools. Assess data sources, conduct literature reviews, communicate results to business leaders, and ensure compliance with model risk management requirements. Collaborate with data science, technology, and production teams to operationalize models and review external or vendor-developed solutions.

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.

Leads data governance, risk mitigation, analytical tool validation, and program development for Global Payment Networks. Responsibilities include planning validation projects, assessing analytical methodologies and tool risks, researching industry practices, preparing reports and presentations, and coaching junior staff. The role requires managing concurrent projects and applying data analytics, risk management, statistical, and project management expertise to develop enterprise-wide controls and processes.

Leads enterprise lending and installment analytics to optimize portfolio growth, customer value, credit performance, and customer experience. Oversees decisioning frameworks, lifecycle targeting, product economics, experimentation, causal measurement, modeling strategy, reporting, governance, and real-time personalization. Partners with Product, Marketing, Risk, Finance, and Operations while managing and developing a high-performing analytics organization.

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.

Leads a marketing analytics team, oversees campaign performance analysis, and delivers actionable insights for optimization. Partners with stakeholders and senior leaders, directs statistical modeling and experimentation, manages complex datasets, and guides in-flight and post-campaign reporting. The role also allocates resources, improves analytical systems and processes, mentors talent, and supports data-driven marketing strategy and customer growth.

Leads a marketing analytics team that evaluates campaign performance, develops statistical models and experiments, delivers in-flight and post-campaign insights, and advises stakeholders on optimization strategies. Manages analytics initiatives, resources, data-driven research, and talent development while identifying improvements to data systems and business processes. The role requires translating complex findings into actionable recommendations and overseeing analysis of large structured and unstructured datasets.

Leads end-to-end people analytics projects, translating HR and business priorities into metrics, statistical analyses, visualizations, and executive recommendations. Partners with HR leaders, product teams, machine learning scientists, and data engineers to improve organizational insights, data quality, analytics products, and self-service capabilities. Designs employee listening programs, delivers data-literacy coaching, manages analytics intake, supports product development, and advances analytical practices across the People Analytics team.

Leads insights and analytics for the Savory category, integrating syndicated, internal, external, consumer, shopper, and competitive data. Diagnoses business performance, identifies growth opportunities, guides research and advanced analytics, and translates findings into actionable category and brand strategies. Partners with marketing, sales, and customer teams, influences senior leadership, leads business reviews, and manages a team of insights and analytics professionals.

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.

Analyze large datasets to identify digital fraud trends, develop loss-reduction strategies and business rules, automate fraud alert processes, monitor emerging risks, and present actionable insights to senior leadership. Collaborate with technical and business teams on fraud-fighting products, apply experimentation and machine learning, manage financial impacts, and improve customer experience across digital payment channels.

Manage point-of-sale fraud strategies and conduct complex risk analyses to reduce losses while balancing customer impact. Responsibilities include developing fraud rules and policies, identifying risk indicators, enhancing reporting, testing mitigation processes, leading strategy initiatives end-to-end, analyzing large datasets, and presenting recommendations to management. The role collaborates with Operations, IT, Risk Management, and other cross-functional partners to improve fraud detection and customer experience.

Leads product analytics across core product, hardware, and algorithms while managing and developing analysts. Partners with cross-functional teams to define KPIs, evaluate experiments, analyze member behavior and product performance, build scalable analytics processes, and influence product strategy through actionable insights. The role requires hands-on analysis, advanced SQL, data warehousing expertise, strong storytelling, and the ability to guide senior stakeholders and technical teams.