Top Senior Data & Analytics Jobs

The Azure Cloud Engineer will implement, manage, and optimize Azure cloud infrastructure, develop IaC templates, maintain CI/CD pipelines, and ensure system reliability and security compliance.

The Senior Analyst leads planning analysis and system insights to optimize supply chain performance and inventory management. Responsibilities include data analysis, model development, and collaboration across departments to enhance operational efficiency.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

Design, build, and maintain scalable ETL/data pipelines and data models; ensure data quality and governance; collaborate with data scientists, analysts, and stakeholders; optimize performance and document data systems; evaluate and adopt data platform technologies.

Lead design, architecture, and delivery of big-data solutions. Develop and code cloud and Hadoop-based pipelines, model data, translate business needs into analytical solutions, author/review architecture documents, and drive initiatives to completion while communicating with business stakeholders.

The Data Architect analyzes complex data sets using SQL, supports regulatory compliance, develops reports and dashboards, and ensures data quality for risk management in financial services.

The role involves managing LiDAR and geospatial data workflows for wildfire mitigation, automating workflows, and collaborating with multiple stakeholders.