Top Analytics Jobs

Serve as the recruiting organization's data science partner, performing proactive research, building predictive hiring velocity and capacity models, tracking funnel health and diversity metrics, evolving the recruiting analytics stack, and translating complex talent data into strategic, actionable recommendations for TA leadership.

Lead analytics and machine-learning efforts to prevent point-of-sale fraud: analyze large datasets, design and implement fraud decisioning capabilities, partner with risk modeling and cross-functional teams, build KPI monitoring and automation, and communicate findings and project outcomes to senior leadership.

The role involves developing statistical models and analyses to address client business issues, guiding decision-making with data insights and mentoring associates.

As a Senior Analyst, you'll analyze customer behavior, evaluate promotional strategies, and provide data-driven insights to influence key business decisions at DraftKings.

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.

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 design and implementation of enterprise internal employee fraud detection rules and proactive monitoring. Use advanced analytics (SAS, SQL) to identify emerging threats, recommend rule enhancements, and partner with senior leaders, Risk, Compliance, and Technology to ensure effective, auditable controls and scalable detection solutions.

Lead strategy, design, and implementation of enterprise employee fraud detection rules. Use advanced SAS and SQL analytics to detect anomalous activity, drive proactive monitoring, partner with senior stakeholders, ensure governance and audit readiness, and provide thought leadership on fraud detection methodologies and controls.

Design and apply advanced statistical models and custom analyses using R, Tableau, SAS, Visual Basic and Excel to inform client decisions. Synthesize and present findings, create deliverables, manage project status, build client relationships, mentor associates, and implement solutions while contributing to ZS's analytic capabilities.

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.

The Portfolio Risk Associate will analyze portfolio trends, support risk monitoring, and generate insights using SQL and Python, collaborating with various internal teams.

Drive people strategy analytics: analyze historical data and benchmarks, build statistical models, support product/marketing/credit risk decisions, partner cross-functionally, implement analytically driven solutions, and communicate data-driven stories to senior leaders.

Lead design, validation, and monitoring of fraud strategies using data analysis and AI/ML. Partner with product, technology, and operations to develop detection capabilities, test implementations, and balance fraud mitigation with revenue, cost, and customer impact.

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 analytical and strategic work across marketing, product and credit risk: identify opportunities, build models, support product/pricing strategy, enable direct-to-consumer marketing, drive execution and cross-functional implementation, and monitor outcomes to improve profitability and customer engagement.

Develop, implement, and calibrate quantitative models for financial products and risk management. Perform advanced statistical and time-series analysis, Monte Carlo simulations, and programming in Python/R/SAS/C++/SQL. Provide analytical support, process improvement recommendations, and collaborate with stakeholders and regulators.

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.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Develop advanced statistical models, leverage data analytics, and create custom analyses to inform client decisions while leading and mentoring team members.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

Develop, deploy, and monitor models and pattern-recognition algorithms to detect fraud across lending products. Write Python for analysis and modeling, query complex datasets with SQL, partner with Fraud Operations to refine features and reduce false positives/negatives, conduct ad hoc analyses, and communicate findings to support verification and underwriting improvements.

Perform advanced quantitative analyses on large card portfolio datasets to inform marketing, product, finance, and risk decisions. Build executive dashboards and reports, apply data mining and statistical techniques, translate customer behavior into actionable insights, partner with stakeholders to optimize campaigns and portfolio profitability, and contribute to analytics architecture and process improvements with limited oversight.

Support home lending risk strategy by performing data-driven analyses, identifying trends, monitoring emerging housing and regulatory risks, and delivering clear recommendations and visualizations. Partner with Risk Policy, Product Strategy, and cross-functional teams to design risk segmentation, controls, and performance monitoring to align growth with the firms risk appetite.

Lead end-to-end quantitative research and segmentation studies using SQL, Python, and statistical methods. Analyze large datasets and surveys, synthesize findings into executive-quality insights, drive process improvements, mentor junior staff, and partner with product and senior stakeholders to integrate research into product development.

Lead analytics for card acquisition risk: collect and analyze internal/external data, develop strategies and controls, partner cross-functionally, present recommendations, and ensure regulatory compliance to drive financial performance and loss mitigation.