Top Data & Analytics Jobs

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

The Director, Safety Science will provide strategic support for pharmacovigilance in clinical development, manage safety reports, and ensure compliance with global safety regulations.

Lead analytics and decision-science efforts to identify medical cost savings. Translate business needs into analytic projects, analyze large healthcare datasets, consult with stakeholders, structure analyses, support data scientists, and present recommendations to senior leaders.

The Manager, Data Governance will lead the implementation of data governance strategies to support AI and analytics, ensuring data quality, compliance, and ownership while promoting data literacy across the organization.

The Quantitative Researcher will focus on creating predictive alpha signals, applying ML techniques, and optimizing execution in cash equities. Close collaboration with teams to maximize P&L opportunities is key.

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

The Senior Credit Risk Manager will oversee credit analysis, experimentation design, performance monitoring, and strategic decision support in the U.S. loans business.

The Statistical Programmer analyzes large datasets using SAS and SQL, and applies various statistical methods such as regression and multivariate analysis, while collaborating effectively with team members.

The Clinical Statistician will provide statistical expertise and analysis in clinical research, focusing on high-dimensional data and methodologies, collaborating with medical groups for reports and FDA submissions.

The Senior Data Scientist will design and implement AI solutions for supply chain problems, develop features, and collaborate with engineers and product owners.

The role involves managing real-time information, attending industry events, and synthesizing complex data into clear formats while promoting knowledge management within the organization.

The Senior Economist will evaluate federal safety regulations, develop cost models, conduct market analyses, and provide expert testimony in legal contexts.

Designs and implements data pipelines and analytics solutions for risk management and audit processes, ensuring compliance and scalability.

Lead machine learning and data science strategy at LendingClub, managing teams and driving innovation in predictive modeling and analytics across various domains.

The AI Data Specialist builds and maintains data pipelines, models, and integrations for AI systems, working closely with clients to ensure data quality and effective communication. They manage end-to-end data delivery for multiple projects in a fast-paced environment, translating complex problems into clear solutions.

The Data Engineer role involves working with data exploration, cleaning, analysis, and visualization. Key duties include leveraging statistical programming for data analysis, collaborating with stakeholders, and employing machine learning techniques, while providing insights from complex data sets.

The Global Head of Claims Data & Analytics will lead the data and analytics strategy, enhancing decision-making and improving claims management through advanced analytics and data governance.

The Lead Actuary oversees actuarial work for Alternative Risk Transfer, collaborates with underwriting teams, supports pricing, and enhances predictive analytics tools.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

The Senior Analyst will implement AI and automation technologies in supply chain operations, enhance efficiency, and ensure compliance while collaborating with cross-functional teams.

The CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The VP of Data will lead data strategy, manage data infrastructure, ensure data security, drive business insights, and integrate AI across the company.

As an AI Data Annotation Specialist, you will annotate, label, and curate data for machine learning models, ensuring quality and collaboration with a global team.