Top Senior Analytics Jobs

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.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

Lead analytics for marketing and product decisions through causal inference, experimentation, and deep exploratory analysis. Design and evaluate A/B tests, build KPIs and dashboards, translate insights into recommendations for senior stakeholders, mentor analysts, and ensure data accuracy and integrity across platforms.

Lead collections and workout analytics to improve efficiency and outcomes. Design and monitor credit strategies and models, partner with operations and technology to automate processes, drive program rollouts and testing, and provide data-driven recommendations and reporting to business and risk leaders to align strategy, execution, and policy.

The Senior Data Scientist will develop predictive models for mortgage loss forecasting, perform portfolio analytics, and collaborate across various departments to enhance home lending risk analytics.

The Senior Data Analysis Manager will manage data analytic projects, create dashboards, partner with stakeholders, and lead a team, focusing on strategic insights and analytics.

The Sr Manager of Payor Performance Analytics drives financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and ensuring successful contract negotiations and implementation.

Lead pricing analytics for GoodRx Companion subscription: build forecasting and elasticity models, optimize pricing to drive signups and unit economics, create dashboards and reports, analyze fill patterns, and deliver actionable insights to cross-functional stakeholders to improve program performance.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Lead complex data analysis for private equity and corporate deals across diligence, post-deal, and exit phases. Use advanced analytics, predictive modeling, and visualization tools to generate insights, improve data quality, collaborate with stakeholders, and coach teams to deliver strategic, data-driven recommendations at deal speed.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

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.

The Sr. Data Analyst will utilize industry knowledge to analyze data, develop solutions, and support customers globally, focusing on delivering high-quality IT services.

Lead retention and loyalty strategy for Sling and DISH video services using advanced analytics. Build financial models, identify churn risk, design and execute cross-functional initiatives, support AI/ML-driven solutions, and present insights to senior leadership to improve customer lifetime value and profitability.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Lead a team in data analytics to identify and mitigate compliance risks in lending using statistical modeling and machine learning. Oversee fair lending reviews and collaborate with cross-functional teams to implement data-driven strategies in compliance operations.

The Director of Data Analytics will lead quantitative analysis for Medicare and Medicaid models, mentor staff, and leverage AI in healthcare data projects.

The Sr. Analyst will develop and deploy machine learning models, design testing strategies, and analyze user behavior for the PlayStation brand.

The Staff Data Scientist analyzes customer funnel performance and designs frameworks to improve conversion rates and operational efficiency. Responsibilities include partnership with various teams, supporting experimental initiatives, and translating insights into actionable strategies.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Develop and deploy fraud detection models using analytics and machine learning, monitor real-time transactions, investigate incidents, design dashboards and reports, collaborate with IT and security, ensure regulatory compliance, and recommend preventive measures against payment and e-commerce fraud.

The Data Scientist will lead commercial analytics, build ML forecasting models, conduct deep analyses on sales performance, and mentor junior analysts.

The role involves collaborating with business users on analytics, processing data, and applying statistical methods to analyze large datasets and present insights.

Lead digital measurement and analytics for ecommerce: build measurement frameworks, run attribution and predictive models, drive A/B testing and personalization, produce executive dashboards and actionable insights, partner cross-functionally to improve conversion, retention, and LTV.

The role involves leading the development of house price forecasting models using quantitative analytics, ensuring regulatory compliance, and adopting best practices in model development.