• Define the company's official metrics • Model entities and business rules in the semantic layer • Implement and maintain Cube.js (or a similar tool) • Ensure different consumers use the same definitions • Design and organize transformations in the data warehouse • Ensure data quality, traceability, and consistency • Organize versioning of models and metrics • Work closely with Engineering and Infrastructure to ensure stability • Provide metrics through a semantic API • Prepare datasets for BI • Support integration of the semantic layer into the product • Conduct exploratory analyses • Identify patterns and opportunities • Experiment with AI applications on structured data • Support strategic decisions with quantitative analyses

• This is a technical position responsible for ensuring the accuracy, completeness, and timeliness of Transitions to Community Living (TCL) program data • The employee serves as a key member of the TCL team • Responsible for enabling data-driven decision-making and program improvement through the production and dissemination of insightful reports and analyses • Manage the development and maintenance of a comprehensive data collection system • Provide training and support to stakeholders on utilizing TCL data and dashboards effectively

• Engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course • Support students by providing instruction, feedback, and experiential and application-based learning • Prioritize student engagement and encourage participation, collaboration, and strong faculty-student relationships • Stay current in your field of expertise, share your experience, and recommend relevant supplementary materials • Evaluate student work and provide individualized, constructive feedback • Facilitate student interaction through active participation in online discussions

• Analyze raw data from various sources including sales, customer engagement, website traffic, social media platforms and other marketing/sales technologies. • Interpret data to identify trends, patterns, and insights relevant to marketing strategies and objectives. • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations. • Develop and maintain dashboards, reports, and visualizations to communicate key findings and metrics. • Assist in the implementation of data collection methods, ensuring accuracy and consistency of data. • Conduct ad-hoc analysis to address specific marketing questions or challenges. • Stay updated on industry trends, best practices, and emerging technologies in data analytics and marketing. • Participate in meetings and presentations to share insights, findings, and recommendations with stakeholders. • Support Director of Marketing Ops & Demand Gen in data modeling, segmentation, and predictive analytics projects. • Contribute to the continuous improvement of data analysis processes and methodologies within the marketing team.