Top Senior Level Analytics Jobs

The Director of Data Science & AI will lead a team in developing and deploying advanced analytics and AI techniques. Responsibilities include innovation in AI solutions, collaboration with various teams, and effective communication of complex ideas to leadership, ensuring the impactful application of data science in the mortgage industry.

The Senior Business Analyst will work closely with CRM Project Managers and address integration issues while ensuring the effective delivery of Salesforce.com implementation projects. Duties include configuration of CRM applications, communication with diverse team members, and producing documentation to improve configurations.

The Senior Legal Technology Integration Specialist will develop and implement integration solutions for legal tech clients, leveraging insights into business processes, managing data quality, and collaborating with cross-functional teams. They will utilize SQL and Python for data analysis, stay updated on trends in legal tech, and lead complex project plans.

The Senior Lead Consultant for Data Analytics will develop and maintain Power BI reports, dashboards, and dataflows, integrate with Power Automate, provide technical support on data governance, and build custom measures using DAX and M Language, while working directly with clients and project teams.

In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.

The Executive Researcher will lead top-of-funnel recruiting strategies for executive hiring, utilizing advanced search techniques to identify high-potential candidates in AI and tech industries. The role involves creating market maps, developing sourcing strategies, and collaborating with stakeholders to understand hiring needs while providing insights on industry trends and salary benchmarks.

Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.