Key Responsibilities of the Data Analyst include:
• Build and refine queries to extract admissions, enrollment, HR, and other relevant institutional data;
• Manage and “clean” large datasets for optimizing reporting and efficiency;
• Analyze data using relevant statistical packages;
• Prepare data and tabulate metrics to meet external reporting requirements from accreditors, state and federal governments, and other agencies and organizations;
• Develop and standardize reporting procedures and streamline reporting activities and processes, in order to establish efficient methods of reporting;
• Thoroughly document reporting efforts in UDS records for future reference;
• Prepare informative, meaningful, and comprehensible reports and presentations to facilitate the interpretation of data;
• Leverage data management, data analysis, and data visualization skills to develop user-friendly reports to communicate key trends related to business questions and strategic initiatives;
• Identify, investigate, and work to resolve data quality issues with relevant functional units and data administration and governance colleagues.
The role of Data Analyst will require strong technical expertise, in addition to strong written and verbal communication skills. A learning mentality is desirable—an interest in expanding upon existing skill sets, learning new technical skills, and participating in informal and formal learning opportunities is strongly preferred. This position involves a significant amount of time working independently on a computer; however, it also involves interaction with others, and requires a customer service mentality in order to adequately respond to requests from both university offices and external agencies. The Data Analyst must have strong analytic skills, the capacity to work with large-scale datasets, be detail-oriented, and have a strong commitment to quality and accuracy. The Data Analyst must have the ability to think critically and analytically, work independently, problem solve, and handle multiple concurrent tasks and projects with a variety of internal and external deadlines. Advanced Excel, and experience with SPSS or R, Hyperion/BRIO, Toad, Cognos, Tableau or similar data analysis and visualization tools is strongly preferred.
Specific qualifications include:
• Four to six years of professional work experience with demonstrated proficiency in data management, analysis, and reporting;
• Experience preferred in institutional research, enrollment analysis, or other higher education data analysis and reporting settings;
• Advanced practical experience with reporting, analysis, and data visualization software (Excel, Tableau, Hyperion/BRIO, Toad, Cognos, etc.)
• Excellent data visualization and report preparation skills;
• Strong orientation to detail;
• Strong organization skills;
• Excellent interpersonal and communication skills, including a strong customer service orientation;
• Ability to manage concurrent projects and activities with a high degree of quality and data accuracy;
• Ability to meet deadlines and deliver projects in a timely manner;
• SQL experience a plus;
• Bachelor’s degree required, master’s degree preferred.
Overseen by the Associate Vice Provost for Institutional Research and Decision Support, the University Decision Support (UDS) unit provides timely information and analysis to the Northeastern University community to enable evidence-driven decision making and planning. Analysts within the unit provide research and data analysis to university decision-makers in support of planning, accreditation, and budgeting; produce and disseminate reports offering insight into the progress and performance of Northeastern; and assess and evaluate Northeastern’s academic, administrative, and co-curricular initiatives. UDS is also responsible for the submission of voluntary or required data to external entities, including government agencies, accreditors, professional organizations, college rankings, guidebooks, and other media outlets. To accomplish these efforts and meet the internal and external data needs of the university, UDS analysts produce, refine, and maintain a variety of “self-service” data tools; respond to annual external data requests or requirements; respond to ad hoc internal data requests, and engage in any other data analysis and research, as needed. In addition, UDS is home to the university’s data administration group, which manages and facilitates data governance to maximize the value extracted from the university’s data assets. In summary, UDS is a source of information, expertise, and guidance for data consumers throughout the university, that seeks to promote, influence, and advance a culture of shared knowledge by making data accessible to faculty and staff in accordance with their role and purpose.