Top Senior Level Data & Analytics Jobs

The Senior Data Analyst will be instrumental in enhancing customer satisfaction and retention by analyzing complex data sets, developing dashboards in Tableau, and utilizing tools like Zendesk and Gainsight to track customer interactions and churn. The role involves mentoring junior analysts and presenting insights to senior management.

The Staff Data Scientist in Marketing will create reporting to understand consumer behavior and engagement, collaborate on measurement best practices for performance media, and deliver insights across the customer journey while managing data integration and campaign optimization efforts.

As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.

The EDI Analyst will monitor and improve EDI systems within the IT team, focusing on supply chain processes such as procure-to-pay and order-to-cash. Responsibilities include developing EDI systems, performing quality control, maintaining documentation, and troubleshooting EDI issues.

As a Lead Data Analyst, you will direct data-driven strategies to enhance member experiences, support growth through actionable insights, and lead cross-functional data initiatives. Your role involves advanced analytics, mentoring junior analysts, and communicating complex data insights clearly to stakeholders.

As a Senior Product Data Scientist at Celonis, you will be responsible for building data-informed insights to support strategic decision-making, developing machine learning models, and collaborating with cross-functional teams to drive data-driven initiatives. You will also play a key role in refining data engineering processes and communicating analytical findings to stakeholders.

The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.