Top Data & Analytics Jobs

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.

As a Product & Compliance Analyst, you will support insurance products by conducting market analyses, communicating product updates, and filing requests with the state. Your role involves collaboration with internal teams and using data to influence operations while ensuring compliance with regulations.

The Analytics Engineer will work on developing and optimizing AI tools for the logistics sector, utilizing a strong background in machine learning and statistics. Responsibilities include participating in the software development life cycle, conducting research, and enhancing machine learning infrastructure within production environments.

The Senior Analyst, Commercial Analytics will engage in deep dives into commercial data, conduct advanced analytics projects, develop dashboards, collaborate with teams for insights, and provide support to senior leaders by translating complex data into actionable recommendations.

The Senior Web Analyst is responsible for analyzing web metrics to provide insights and recommendations for improving site performance. They will collaborate with various teams and educate on web analytics opportunities while driving business decisions based on data analysis and A/B testing.

As an Associate Systems Analyst, you will collaborate with Business Analysts and customers to refine requirements and create documents and reports. You will configure customer documents, automate workflows, and assist with testing and troubleshooting the integrated document creation tool.

The Sr. Data Engineer will design, build, and optimize data platforms and pipelines to facilitate data transformation and governance. Responsibilities include collaborating with teams, ensuring data quality and compliance, applying Snowflake expertise, and implementing automation and metrics for data solutions.