Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as social media and web analytics Communication, Mentoring and Analytics Implementation Work with business users to define desired outcomes and business requirements of analyses, data visualization and other reporting Provide expertise on mathematical concepts for broader applied analytics and inspire the adoption of advanced analytics and data science across the Advancement Office Describe findings or the way techniques work to audiences, both technical and non-technical, effectively using presentation tools such as data visualization, PowerPoint and documentation to drive strategic decision making and understanding of business analytics at all levels of the organization Assist in addressing daily operational questions as needed, identify critical process improvement areas and collaborate in developing procedures and solutions for enhancing a high level of customer service Staff Management Serve as the team lead for projects and priorities of the data science team, working closely with the Executive Director, Prospect, Engagement, and Data Strategy to ensure projects are aligned with department and Advancement priorities Responsible for the hiring and professional development of staff including training, mentoring, and identifying goals, objectives and metrics Responsible for performance management of staff and monitoring of activity and metrics Other related tasks as assigned Best Practices & Strategy Working closely with Data Strategy and Innovation team members, conceive of and contribute to strategies and best practices in maintaining a comprehensive, reliable, and innovative data environment Review and recommend use of new technologies, vendor services and information sources. Keep abreast of news and relevant industry trends in support of the Office of Advancement Develop and maintain proficiency in using advanced analytic and database tools, internet resources, in-house data, and other references PI0705f6d76226-25448-404392875c143e31-5e48-4549-b638-05792d185386