Top Senior Level Data & Analytics Jobs

The Senior Data Scientist, Growth at Midi Health will analyze and optimize marketing campaigns using KPIs, evaluate ROI and CAC, and provide data-driven insights for budget allocation. The role involves collaborating with various teams to enhance patient acquisition strategies, design data pipelines, develop dashboards, and leverage advanced analytical techniques.

As a Data Engineering Consultant at CompassX, you will solve complex data challenges for clients using modern tools. Your role involves designing and implementing data solutions including ETL and reporting while leveraging your experience in data warehousing. You will consult with clients to understand their business needs and collaborate closely with the leadership team.

As Head of Data Feeds, you will lead the Product Management team, prioritize customer needs for alternative data feeds, and oversee product development and delivery. Collaborate with stakeholders across multiple departments to enhance investment processes and ensure team operations align with strategic goals.

The Data Analyst at Apiture will analyze complex datasets, develop predictive models, and derive insights to guide strategic decisions. This role involves collaboration with clients, data visualization, and operational support of data products while mentoring other analysts.

The Senior Cybersecurity Threat Analyst will design, implement, and support logging and monitoring across cloud platforms in the SIEM. They will collaborate with various teams to track security issues, provide expertise on security policies, and lead audit activities, while also developing comprehensive security monitoring programs. The analyst will research cyber threats and enhance security measures, serving as a technical resource for team members.

The Senior Applied Data Scientist will perform deep data analysis on false positives and negatives, provide insights for improving detection efficacy, train models for specialized attacks, recommend new feature groups, and collaborate on productionizing detection signals. The role involves monitoring and enhancing the performance of a message detection system.

Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders