Top Data & Analytics Jobs

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.

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.

Lead reporting and analytics for a business domain during a multi-year transformation. Own data migration, define business requirements, prioritize reporting roadmap, partner with tech/data teams and vendors, deploy reporting/analytics solutions (including ML-driven automation), measure KPIs, and drive adoption and value realization across cross-functional stakeholders.

Lead reporting and analytics for the finance domain, translate business requirements to product and tech teams, own data migration and roadmap, ensure data quality, enable data-driven automation and ML, coordinate organizational readiness for reporting transition, and manage stakeholder communications to deliver measurable business outcomes.

Lead reporting and analytics for a Business Transformation domain, owning data migration, roadmap, and stakeholder liaison. Define business requirements for reporting, ensure data quality, partner with tech and vendors, and drive data-driven automation and ML features to improve operations. Manage tools, KPIs, and change adoption across a multi-brand retail environment for the duration of a multi-year transformation.

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 Head of Investment Data, you will define and drive data strategy, governance, and operations to enhance investment decision-making and client outcomes.

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

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

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

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

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.

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

Lead strategic data analysis and program management for high-visibility initiatives, translating complex analytics into clear recommendations for senior stakeholders. Shape technical data strategy, deliver compelling visualizations, manage team resources, and ensure regulatory and ethical alignment across data and technology projects.

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 development of Transaction Monitoring models, leveraging advanced analytics to enhance detection of suspicious activities while managing a global team.

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

The Director of Data will lead the data lifecycle at Rang, focusing on data infrastructure, predictive analytics, and high-impact visualizations to improve student outcomes.

The Staff Data Scientist designs and optimizes credit strategies, integrates manual underwriting with analytics, and collaborates with various teams to drive sustainable growth while managing credit risk.

The Staff Data Scientist analyzes customer funnel performance and designs frameworks to improve conversion rates and operational efficiency. Responsibilities include partnership with various teams, supporting experimental initiatives, and translating insights into actionable strategies.

Design and develop high-quality database solutions; translate business requirements; perform SQL Server development and OLAP/OLTP data modeling; develop software using C#, ADO.NET, and .NET; apply data science/machine learning tools such as R; and execute software development and maintenance projects.

The role involves strategic business analysis, technical expertise in cloud platforms, data engineering, analytics, and project management to drive data initiatives.

The VP of Global Analytics & Insights leads teams to drive business growth through data-driven insights and advanced analytics, enhancing commercial strategies.

Lead development of structured private markets intelligence by converting expert transcripts, surveys, and AI-moderated interviews into standardized datasets, dashboards, and packaged products. Define research frameworks, signal extraction, data architecture, quality standards, commercialization and go-to-market strategy while building and managing a research product/data science team.