Top Data & Analytics Jobs

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

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

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

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.

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.

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

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.

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

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

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

Join the Data Science Co-Op at Bose to engage with stakeholders, build predictive models, and explore data related to audio technology innovations.

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

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.

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

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

The Senior Manager, Data Science - Patient Growth will own the marketing analytics strategy and lead a data science team focused on improving patient acquisition through data-driven measurement and growth analytics.

Lead end-to-end forecasting for assigned brands/therapeutic areas using AI-first and Excel-based models. Integrate market research, competitive intelligence, and secondary data to produce short- and long-range forecasts, run scenario and sensitivity analyses, ensure model governance and audit readiness, and partner cross-functionally to align assumptions and inform enterprise planning.

The Sr Manager, SMB Analytics oversees data analytics functions, leading teams to align analytics initiatives with business strategies and deliver high-quality insights.

Lead the vision, roadmap, and delivery of analytical products for marketing and sales, driving insights to maximize revenue growth through collaboration and data-driven methodologies.

Lead omnichannel analytics strategy, measure non-personal promotion effectiveness, and develop data-driven insights for commercial strategy. Collaborate across teams to optimize digital engagement and enhance analytics capabilities.

Lead a team of actuarial data scientists to redefine insurance pricing and reserving through innovative technology while communicating with clients and providing insights on actuarial processes.

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.

Lead the Forward Engineering team to develop Spotfire-based AI and industry analytics solutions. Drive client engagements, field engineering programs, and cross-functional collaboration with product and engineering to grow Spotfire Industry Analytics offerings.

Interns will engage in data science, engineering, and analytics roles, utilizing data to provide insights and improve decision-making processes for Chevron.