Data Strategy Analyst, Brandeis Career Center 

Brandeis University is launching a bold new approach to career development as part of its vision to Reinvent the Liberal Arts. We are hiring a Data Strategy Analyst to lead the Career Center's data strategy, analytics, and reporting efforts. By analyzing student engagement, career outcomes, and program effectiveness, you will generate actionable insights that inform strategic decision making, support institutional reporting, and help measure the impact of career education.

Responsibilities

Lead the Career Center's data strategy, analytics, and reporting efforts; Develop and manage a comprehensive data strategy for the career center; Establish and maintain data governance practices; Ensure data integrity, quality, and consistency; Oversee integration of multiple data sources; Ensure compliance with university policies, FERPA, and data privacy standards; Lead analysis and interpretation of student engagement, career outcomes, learning outcomes, and program data; Develop dashboards, reports, and visualizations; Respond to ad hoc data requests; Track and report on key performance metrics; Identify trends and translate findings into actionable insights; Own the full lifecycle of the First Destination Survey; Produce annual outcomes reports; Develop and manage the Career Center's assessment plan; Partner with Institutional Research, academic units, Advancement, Alumni Relations; Present findings to internal and external audiences; Train staff on data literacy; Lead development of advanced analytics, including predictive modeling and applied AI; Identify opportunities to modernize data systems; Conduct regular research on higher education, career, and data strategy; Support planning and execution of career center events and initiatives

Requirements

Bachelor's degree; 3–5 years of experience in data analytics, reporting, or data management; Strong analytical skills with the ability to interpret complex data and communicate insights clearly to diverse audiences; Advanced proficiency in Excel and experience with data visualization tools (e.g., Power BI, Tableau); Demonstrated experience developing dashboards and reports for decision-making; Experience working with multiple data systems and integrating data from various sources; Strong collaboration and communication skills, with the ability to work across teams and functions

Nice to have

Degree in data analytics, statistics, data science, or a related field; Experience with survey tools and statistical software (e.g., Qualtrics, R, SPSS, SAS, or similar); Strong understanding of data visualization best practices and user-centered reporting design; Experience with predictive modeling, forecasting, or applied AI in a professional setting; Experience working with enterprise data platforms or cloud-based analytics environments; Knowledge of FERPA and data privacy standards in higher education

Benefits

Ongoing training; Mentorship; Professional certification support; Conference attendance; Medical insurance; Dental insurance; Vision insurance; Disability insurance; Life insurance; Retirement savings; Tuition assistance; Employee discounts; Voluntary insurance options; Free campus parking