Top Data & Analytics Jobs

Manage and scale paid media campaigns for gaming clients, optimize user acquisition strategies, and deliver insights to stakeholders.

The Senior Data Analyst will analyze complex datasets, support data projects, develop reports and dashboards, and mentor junior analysts.

The Product Innovation Data Specialist ensures accuracy and consistency of product master data, collaborates with teams, and supports data quality initiatives.

The SRM D&A Lead will develop analytics products for Strategic Revenue Management in North America, ensuring integration with Trade Promotion Management, fostering data-driven decision-making, and driving adoption of analytics capabilities in the organization.

The Data Engineering Specialist will support data integration and analytics, develop data pipelines, and collaborate in Agile teams. Responsibilities include maintaining Kafka and Elastic platforms, implementing CI/CD practices, and ensuring compliance with DoD standards.

Manage moderately complex claims and support the corporate risk and insurance program, including risk analysis and policy administration.

As a Data Analyst, you will analyze data for customer success, provide actionable insights, build dashboards, and support commercial decisions, embedding closely with revenue teams.

Develop and support simulation frameworks for backtesting execution methods and collaborate with researchers on new trading strategies.

The role involves developing and implementing automated statistical trading models, analyzing large data sets, and participating in research and trading model development.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

Manage filings review process for High-Net-Worth Personal Lines Program, analyze pricing strategies, and collaborate with cross-functional teams to influence business decisions.

Lead AIG's Catastrophe Research & Validation Team, supporting risk assessment and model validation for various natural catastrophes while mentoring a team and collaborating across departments.