Top Senior Level Analytics Jobs

As a Desktop Analyst, you will support the installation, configuration, and management of computers, peripherals, and software. Responsibilities include managing IT assets, overseeing desktop deployments, and enhancing cybersecurity measures. You will also collaborate with teams for hardware assessments and provide technical support for desktop-related issues.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.

As a Senior Data Analyst at EFG, you will guide analytics projects, build data products like dashboards, and drive business insights. You'll play a key role in understanding data ecosystems and enhancing analytical capabilities within the team while collaborating with business partners.

The Senior Business Analyst will support a large-scale IT system implementation project, collaborating with teams for user acceptance testing and system enhancements. Responsibilities include troubleshooting issues, defining testing strategies, creating user stories, and analyzing business processes.

The Senior Stress Analyst Engineer will perform stress analysis on vehicle structures, apply hand calculations and numerical methods, conduct various structural analyses, validate finite element analyses, and support new design development through robust performance predictions.

The Senior Research Analyst will lead research studies, carry out data analysis, manage multiple projects, and create research outputs. The role involves transforming complex datasets into insights and collaborating with various teams to enhance healthcare data solutions.

Seeking experienced Lead Data Analyst for a financial services client in Encino, CA. Responsible for data warehouse implementation alignment with strategic goals in wealth and asset management services. Develop comprehensive data strategies, maintain scalable data models, ensure data integrity, and translate complex data findings into actionable insights. Requires expertise in financial concepts and processes, data modeling standards, and compliance with industry regulations.