Top Data & Analytics Jobs

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

The Data Scientist Economist will develop economic indicators and analyze large data sets to understand economic trends, providing insights for the insurance sector and contributing to research publications.

The Director of Data & Analytics will lead the analytics function, align data strategy with growth objectives, ensure data quality, and develop talent in the data team.

The Executive Director will oversee data science and data management strategies, leading capabilities across commercial insights and analytics while collaborating across multiple organizational functions.

The Manager of Individual Investor Analytics leads a team to deliver analytical solutions. Responsibilities include managing analytics projects, developing insights, and enhancing data quality. The role emphasizes collaboration with business leaders to drive data-informed decisions and improve business outcomes.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Director, Data Insights will bridge technical data and business decisions by translating complex data into persuasive narratives, advise executives, and transform organizational culture toward data-driven practices.

The Director of Recruiting Analytics & Insights will lead recruiting analytics strategies, develop metrics, and partner with stakeholders to use data for informed recruitment decisions.

The Analyst will consult for talent and manage projects within the UTA Creators Team, utilizing data science and machine learning to provide insights and solutions in the creator economy.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Head of Value Attainment will lead the creation of a value measurement system, manage analytics and commercial frameworks, and support healthcare partnerships to demonstrate Ambience's clinical and financial impact.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The Director of Data Enablement and Reporting will lead data governance and analytics efforts for the R&D organization, ensuring AI readiness and compliance while collaborating with stakeholders and driving a data-centric culture.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The role involves leading data science projects, developing dashboards, and providing actionable insights, particularly for digital yield intelligence initiatives.

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

The Director of Integrated Insights and Analytics will lead processes for insights gathering and dissemination, focusing on strategic decision-making in the pharmaceutical industry.

The role focuses on driving brand success through actionable insights from data analytics, strategic planning, and managing a high-performing team within the pharmaceutical sector.

The Content Reviewer will evaluate and enhance educational materials in Computer Science, ensuring accuracy and clarity for diverse student levels while collaborating with instructional designers.

This role involves underwriting cyber insurance for middle market businesses, managing broker relationships, ensuring profitability, and collaborating with teams to improve services and processes.

As a Senior Clinical Data Science Lead, you will lead clinical data management strategies, oversee data analysis for trials, and guide teams in data governance and quality control.

The Consultant will assess, prioritize, and model demand across the organization, working with stakeholders to ensure effective decision-making and delivery outcomes, requiring strong analytical and financial skills.

The Analyst, Data Science role involves analyzing complex datasets to drive business outcomes in Ventas' Senior Housing portfolio through predictive modeling, data visualization, and collaboration across teams.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

The Director of Data Science will lead AI/ML and GenAI initiatives, oversee project delivery, and mentor a data science team, focusing on life sciences.