Top Senior Data & Analytics Jobs

Partner with cross-functional teams to drive data-driven decisions, design and analyze A/B tests, identify scalable user acquisition levers, automate processes, and use advanced ML models to inform product and growth strategy.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Lead client engagements to define objectives and deliver end-to-end decision science solutions using optimization, simulation, ML, and statistical modeling. Provide technical leadership, execute project plans, develop models, deploy solutions, and upskill clients and teammates.

Manage AmRisc catastrophe modeling: audit portfolio data and model results, implement and test vendor model changes, develop portfolio optimization tools, liaise with vendors, IT, carriers and leadership, support capacity efforts and deliver projects for senior management.

Provide advanced procurement analytics and database management to support category leaders: compile and analyze large datasets, build cost and spend models (TCO, price/volume), evaluate suppliers, support sourcing through forecasts and presentations, lead multiple projects, and drive continuous improvement in procurement processes.

Lead reporting and analysis for Global Food Retail customers: produce recurring and ad-hoc reports, ensure data integrity and accuracy, troubleshoot reporting databases, support end-users, track changes and production fixes, and train stakeholders on features and enhancements.

Design, build, and maintain scalable data pipelines into an enterprise cloud data warehouse to enable analytics, reporting, and advanced solutions. Collaborate with data architecture, IT operations, DBAs, infrastructure teams, analytics leaders, and business stakeholders to ensure system availability, performance, and timely resolution of data issues.

Lead data engineering and analytics engagements: gather requirements, design and deploy cloud data platforms and data warehouses, build ETL pipelines and APIs, develop BI reports, mentor staff, and support practice and project management activities.

Lead design and implementation of BI and data visualization best practices across Cognos Analytics, Power BI, and Paginated Reports. Gather requirements, build semantic layers, dashboards, and reports; ensure data integrity, security, and quality; perform administration, deployments, performance optimization, and SQL development for Oracle/SQL Server; integrate with Azure Synapse and Data Lake; document processes and provide end-user support and cross-training.

The Senior Fraud Risk Analyst identifies and mitigates fraud risks by analyzing data, developing strategies, and monitoring fraud prevention measures.