Dat Insights Analys - (Remote, Entry-Level)

Role Description The Dat Insights Analys (Remote, Entry-Level) role is a part-time position focused on supporting data-driven decision-making for the MBA & DBA Department. On a day-to-day basis, the analyst will collect, clean, and organize academic and operational data, prepare basic reports and dashboards, and summarize key insights for program leadership. The role includes assisting with survey design and analysis, monitoring student and program performance metrics, and contributing simple visualizations and presentations that communicate trends and opportunities. The analyst will collaborate remotely with faculty and administrative staff, follow clear guidelines, and document methods and findings to ensure data quality and consistency.

Qualifications

Candidates should possess foundational data analysis skills, including basic data cleaning, organization, and interpretation using spreadsheets or introductory analytics tools. Candidates should possess skills in reporting and visualization, such as preparing charts, tables, summaries, and presentations that clearly communicate insights to non-technical stakeholders. Candidates should possess basic research and analytical thinking skills, including the ability to design simple surveys, validate data sources, and draw logical conclusions from quantitative and qualitative information. Candidates should possess communication and collaboration skills, including clear written communication in English, responsive remote teamwork, and the ability to explain findings in straightforward language. Candidates should possess strong organizational skills, attention to detail, and the ability to manage multiple tasks independently in a remote, part-time environment. Beneficial qualifications include familiarity with introductory statistics, experience with tools such as Excel or Google Sheets (and optionally Power BI, Tableau, or similar), and an interest in business education, leadership, or program evaluation. Beneficial educational background includes current enrollment in or completion of a bachelor’s degree in business, economics, engineering, data science, statistics, or a related field; equivalent practical experience is also welcomed.