Top Data & Analytics Jobs

As a Decision Analytics Consultant, you will manage analytics projects, mentor junior team members, and develop insights for client strategies using data modeling and analysis.

The Decision Analytics Consultant manages data-focused projects in the pharmaceutical sector, utilizing data science techniques to enhance decision-making and guide junior team members, ensuring effective client service and project delivery.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Leads a Data Science team at Gusto, focusing on product strategy using data and AI. Responsibilities include team management, developing measurement frameworks, supporting experiments, and influencing leadership decisions with insights.

The Staff User Researcher will lead exploratory and evaluative research to shape the Go platform's strategy, focusing on AI integration and user experiences.

The Senior Product Lead will design and implement data and analytics solutions, manage cross-functional partnerships, and develop scalable AI-enabled solutions for enterprise transformations.

Lead research and user experience intelligence at Capital One, generating insights from data analysis. Manage research teams and enhance product strategies using AI tools.

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 role involves developing models for product flow and capacity forecasting, utilizing mathematical techniques, data analysis, and programming languages, while collaborating with engineers and business users.

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

The Lead Data Analyst will estimate marketing incrementality and improve performance using media mix modeling and predictive modeling. Responsibilities include mentoring other analysts, partnering with teams, and developing predictive models to drive business outcomes.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Manage a development team to build software solutions in AI and Data Science, ensuring quality delivery and collaboration across departments.

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

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

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 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.

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 Assistant Director for Graduate Studies in Data Science advises master's students, assists in admissions, teaches courses, and collaborates on curriculum development.

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.

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

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.