Top Data & Analytics Jobs

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.

Lead teams to deliver analytics solutions for clients, manage client data measurement, build automated systems, and drive organizational efficiency.

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 Data Engineer Sr leads the development and implementation of data solutions across multiple applications, ensuring accuracy, scalability, and security, while consulting on data migration and preparation processes.

The Fraud Model Analyst supports analytical tasks involving structured/unstructured data, develops algorithms using statistical techniques, and presents insights using visualization technologies.

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 Principal Sales Operations Analyst will leverage data and advanced analytics to drive sales performance, optimize operations, and deliver insights while mentoring junior analysts and collaborating across departments.

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.

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.

The intern will support GIS data engineering projects, transform geospatial data, address quality issues, and collaborate with the team to deliver effective outcomes.

The internship involves supporting GIS data engineering projects, transforming geospatial data, addressing data quality issues, and assisting in analysis and integration tasks while receiving guidance from the team.

The Data Science Intern will assist in GIS data engineering projects, help create geospatial products, and support data analysis under team guidance.

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.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

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

As a Data Product Manager, you will bridge data systems and user experiences, manage data quality, and align data strategy with business objectives, while fostering collaboration across teams.

The Marketing Analytics Senior Lead will manage the analytics strategy for Lifecycle & CRM marketing, influence investment decisions, lead experimentation, and provide insights to enhance marketing efficiency across a global platform.

The Market Intelligence Manager will drive strategic analysis, support CEO initiatives, and deliver business insights by analyzing market data and trends.

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.

Lead Yahoo's data organization, defining strategy and ensuring effective data infrastructure supporting AI-enhanced user products. Collaborate with cross-functional teams, mentor talent, and advocate for data-driven culture.

The role involves teaching various data analytics courses, engaging in scholarly research, and providing service to the university and community, all while integrating Christian principles.

Lead the creation of a multi-year roadmap for data science and analytics in sales, while managing a team of data scientists and analysts.

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