Top Data & Analytics Jobs

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.

The Analyst will enhance the loan pricing module, integrating new analytics with production, and improve client documentation while collaborating with various stakeholders.

The data analyst transforms data into insights, supports decision-making through visualization, and automates analysis using AI and ML, while collaborating with U.S. Army clients.

As a Senior Data Analyst, you will analyze data to provide insights, mentor clients, and use tools like Tableau and Palantir to visualize data, guiding decision-making for impactful outcomes.

Lead Data & Analytics Product Development, focusing on identifying, developing and monetizing data products, while overseeing a team and shaping AI strategies.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

The Solution Architect defines technical requirements and models that guide IT solution decisions, analyses business needs, and develops architectural blueprints for integration across applications and systems. They collaborate with teams to drive consensus and implement Business Intelligence solutions.

As a Senior Statistical Methodology Data Scientist, you will lead innovative statistical approaches, provide guidance on study design, and support evidence-based decision-making in clinical development.

As a Senior Statistical Methodology Data Scientist, you will provide expert guidance on complex study designs and develop innovative statistical approaches to enhance evidence generation and decision-making across clinical development.

The Director leads global HR analytics, driving innovation and delivering data-driven strategies to enhance colleague experiences, operational excellence, and decision-making through advanced analytics and automation.

The Senior Data Scientist will solve complex problems, mentor junior team members, conduct analyses, build models, and collaborate with various business units to enhance data science capabilities and strategies.

The VP of Enterprise Data Services will lead data product implementations and governance, ensuring data quality and driving analytics strategies to support business objectives.

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 role involves advancing investment analytics through data science, developing scalable workflows, and creating analytical models for investment decisions.

The Manager of Individual Investor Analytics leads a team to deliver analytical solutions. Responsibilities include managing analytics projects, developing insights, and enhancing data quality. The role emphasizes collaboration with business leaders to drive data-informed decisions and improve business outcomes.

The role involves building data layers, enhancing investment analytics, managing data pipelines, and developing AI-enabled tools to support investment decision-making.