Top Data & Analytics Jobs

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.

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 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.

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.

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.

The Data Science Manager will lead a team to deliver insights using data science techniques, influencing business strategies and providing guidance to senior management.

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

Lead a team in data analytics to identify and mitigate compliance risks in lending using statistical modeling and machine learning. Oversee fair lending reviews and collaborate with cross-functional teams to implement data-driven strategies in compliance operations.

The role involves delivering robust marketing analytics, collaborating with stakeholders, utilizing modeling techniques, and generating insights to improve marketing effectiveness and ROI.

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.

Lead planning, oversight, and coordination of Athlete Intelligence and Data projects, manage cross-domain alignment and stakeholder engagement, and facilitate program delivery and reporting in a complex environment.

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.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.

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 Intern - People Analytics will support data-driven solutions using statistical models and machine learning, focusing on data analysis and visualization.

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

The Product Analyst will enhance transaction enrichment products by analyzing data, defining requirements, and making recommendations to improve user experience and product performance.

The Business Intelligence Analyst develops reports and dashboards, manages data analysis, ensures data integrity, and collaborates with various teams to provide insights and support decision-making.

Join Chevron as an intern in Information Technology – Information and Analytics. Interns will apply data science and analytics to support sustainable energy initiatives. Responsibilities include data analysis, modeling, and contributing to data-driven decision-making processes across multiple areas.