Top Senior Level Analytics Jobs

As the Lead S&OP Analyst, you will manage the S&OP process, performing data analysis, consolidating data, and implementing process improvements while collaborating with cross-functional teams to optimize supply chain performance.

The Principal Performance Analytics Engineer will analyze fleet performance using predictive analytics to detect anomalies, validate data from multiple databases, and collaborate with various teams to identify root causes of failures. This role also involves automating analyses, tracking quality issues, and presenting findings to stakeholders.

The Senior Manager/Associate Director - Data Strategy will develop and implement a comprehensive data strategy aligned with business goals, focusing on optimizing data architecture and managing the data lifecycle. This role promotes advanced analytics and machine learning while ensuring compliance with data governance and privacy regulations.

As a Manager of Data Management, you will promote effective data governance, ensuring data integrity, usability, and security. You'll collaborate with partners to develop governance practices, analyze data requests, and support data quality processes while performing data profiling and managing business data quality requirements.

The Trade Analytics & Optimization Manager focuses on developing optimal trade strategies and analyzing trade promotion executions to enhance profitability and drive growth. This role involves collaborating with sales and marketing teams to analyze and implement pricing strategies, maximizing performance while managing risks. The manager also leads analytical projects ensuring consistency and effective communication of insights to stakeholders.

As a Lead Business Analyst at MERGE, you will lead requirements-gathering processes, document functional requirements, and ensure project deliverables meet client expectations. You will also mentor junior analysts and support agile project delivery, particularly with Adobe Workfront.

The role focuses on developing automated tools to support the investment lifecycle, including data acquisition, analysis, model development, and portfolio implementation. Interaction with portfolio managers and traders is integral to create repeatable and efficient workflows.