Top Data & Analytics Jobs

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The Manager, Data Governance will lead the implementation of data governance strategies to support AI and analytics, ensuring data quality, compliance, and ownership while promoting data literacy across the organization.

Lead client-facing analytics projects to analyze large datasets, design predictive models and reports, deliver actionable insights, and mentor junior analysts. Build statistical and ML solutions (including NLP), automate processes, create dashboards and visualizations, engage stakeholders to define metrics, and present findings to senior leadership to improve cost, efficiency, and quality.

Analyze historical demand, occupancy, transactions and competitor pricing to optimize daily, monthly, and event pricing. Build dashboards, deliver revenue insights to leadership, and collaborate with Operations and Marketing to implement pricing and promotional strategies while maintaining data integrity.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

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 Clinical Statistician will provide statistical expertise and analysis in clinical research, focusing on high-dimensional data and methodologies, collaborating with medical groups for reports and FDA submissions.

The AI Data Specialist builds and maintains data pipelines, models, and integrations for AI systems, working closely with clients to ensure data quality and effective communication. They manage end-to-end data delivery for multiple projects in a fast-paced environment, translating complex problems into clear solutions.

The Senior Data Scientist will design and implement AI solutions for supply chain problems, develop features, and collaborate with engineers and product owners.

The Senior Credit Risk Manager will oversee credit analysis, experimentation design, performance monitoring, and strategic decision support in the U.S. loans business.

Lead machine learning and data science strategy at LendingClub, managing teams and driving innovation in predictive modeling and analytics across various domains.

Design, build, and maintain data ingestion, ETL, storage, and analytics systems to measure and scale Starlink network performance (including Wi‑Fi). Automate metric aggregation, detect widespread application issues, lead investigations, fuse multi-source data, and apply analytics and ML models to vehicle- and ground-generated data.

As a Credit Risk Senior Analyst at Marqeta, you'll lead underwriting strategies, refine credit policies, conduct risk analyses, and present findings to senior management.

The Statistical Programmer analyzes large datasets using SAS and SQL, and applies various statistical methods such as regression and multivariate analysis, while collaborating effectively with team members.

The VP of Data will lead data strategy, manage data infrastructure, ensure data security, drive business insights, and integrate AI across the company.

The Data Scientist develops forecasting models, performs data analysis, generates insights, and collaborates with planning and business teams to improve demand forecasting accuracy.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

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

Lead product analytics for zero-to-one ML/LLM-powered experiences: define measurement frameworks, design and evaluate experiments, build instrumentation and KPI systems, partner with Product/ML/Engineering to drive data-informed product strategy and scalable dashboards.

Lead analytics work to assess multifamily credit risk using large datasets, statistical models, and scenario analysis. Build and maintain analytical frameworks, evaluate credit models, quantify portfolio and new-business risk, and communicate findings to senior leaders and stakeholders.

Lead institutional research, reporting, and business intelligence to support planning, accreditation, enrollment, and compliance. Supervise IR/analytics staff, develop dashboards and predictive analyses, manage state/federal reporting, and advise leadership using data-driven insights.

Serve as executive advisor to a portfolio of 25-30 public-sector Chief Data Officers, delivering briefings, workshops and coaching on data and analytics strategy, governance, data science, and information management. Collaborate with sales, analysts and client teams to retain members and support regional growth. Predominantly home-based, client-facing role requiring executive presence and portfolio administration.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

As an AI Data Annotation Specialist, you will annotate, label, and curate data for machine learning models, ensuring quality and collaboration with a global team.

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.