Top Senior Analytics Jobs

Volunteer lead responsible for managing a team of volunteer data analysts, overseeing precinct-level voter file and turnout data cleaning and analysis, producing standardized precinct reports and strategic recommendations for PCOs, maintaining project tracking systems, and ensuring data security while supporting voter engagement and GOTV strategies.

Deliver predictive analytics solutions; manage customer projects; collaborate across teams; promote analytics use in various industries; lead teams and provide analysis.

The Senior Data Analyst will enhance analytics solutions, turn complex data into insights, support decision-making, and contribute to AI initiatives across teams.

The Manager of Actuarial Analytics develops advanced actuarial models for healthcare utilization forecasting, supports revenue projections, and delivers insights to leadership while collaborating with various teams.

The Staff Data Scientist will work with product teams to analyze data, identify improvement opportunities, design experiments, and create reporting dashboards to enhance contract management workflows.

The Business Analyst will analyze online retail data, manage onsite/offshore teams, execute analytics projects using statistical techniques, and deliver actionable business recommendations.

Analyze marketing channel performance and customer behavior using statistical techniques to drive acquisition and revenue growth. Mentor junior analysts and ensure compliance with risk standards.

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.

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

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 VP of Quantitative Analytics leads model development in mortgage insurance, utilizing advanced quantitative techniques and guiding junior analysts while collaborating across departments.

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.

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

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

The Fraud Analytics SME analyzes fraud detection patterns, guides teams in detecting fraud schemes, validates analytical outputs, and supports operational reviews and discussions.

The Quantitative Analytics Tech Lead will develop mortgage prepayment, default models, conduct portfolio analysis, and provide analytics support for trading activities.

Manage people analytics, conducting data analysis to inform HR strategies, offer recommendations for improvement, and create reporting dashboards. Collaborate with HR and business leaders to align people data with business needs.

The role involves developing quantitative models and strategies to enhance trading decisions, manage risk, and provide analytical support within investment banking, focusing on equity products.

The Director of Quantitative Analysis will develop and oversee models for risk management and optimal capital allocation, supervise analytical services, and manage a quantitative team while conducting research and analyses for business growth.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.