Top Data & Analytics Jobs

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 Software Research Analyst analyzes and troubleshoots complex customer and application issues, collaborates with software development teams, and defines best practices for software integration and troubleshooting. They document findings, participate in design review boards, and ensure the resolution of software-related problems while also adapting requirements for software development.

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.

The Senior Data Analyst will support the Customer Success team by utilizing Python for statistical analysis and visualization, writing complex SQL queries, developing reports, identifying data trends, and communicating insights to stakeholders while ensuring quality and collaboration within the team.

The Data Scientist will identify valuable data sources, automate collection processes, analyze complex datasets to identify trends, develop databases that optimize statistical efficiency, and help improve team collaboration. Responsibilities include maintaining knowledge of tech trends, assisting teammates, and evaluating new tools.