Data Analyst working with HelioCampus to analyze higher education data trends and metrics. Supporting university partners by delivering insights, reports, and training on the data platform.
Responsibilities
Develop subject matter expertise in the HelioCampus data platform and guide client partners in the use of the platform to answer strategic and operational institutional questions.
Deploy and configure dashboards, reports, and visualizations to effectively communicate insights and recommendations to university partners.
Conduct analysis of higher education data to identify trends, patterns, and opportunities for improvement.
Perform ad hoc analysis to discover actionable information in support of strategic decision making.
Serve as the main point of contact between HelioCampus and the client partner, working closely with senior leaders to maximize use of the platform and deliver ongoing training and support to client stakeholders.
Prioritize and follow up on client initiatives.
Leverage enterprise business intelligence tools, SQL queries and other tools to develop complex dashboards and reports.
Deliver ongoing training and support to client partners.
Translate and interpret business and data requirements between the client and the HelioCampus technical/data teams.
Maintain accuracy and quality of data extracts.
Requirements
A minimum of 3 years of experience performing analytic functions in higher education or working as a consultant in higher education.
Experience working in one or more key areas of higher education (e.g. student financials, financial aid, admissions, advancement, student affairs, enrollment management).
Experience summarizing and presenting data analysis to business leaders, which includes making recommendations to meet client strategic goals and objectives.
Innate curiosity and an interest in helping to advance institutions of higher education.
Experience building and fostering productive relationships with clients by using active listening to identify client needs and develop a path for success.
Experience working with data from one or more Student Information Systems (e.g. Banner, PeopleSoft, Colleague, Workday).
Experience working closely with technical development teams, Institutional Research, and Information Technology staff.
Significant experience working in Power BI and/or Tableau to manipulate, analyze and present data and to develop dashboards and reports.
Familiarity with data warehouse concepts, relational databases, and experience working with large data sets.
Foundational understanding of SQL and/or one or more analytic/programming software packages such as R, SAS, Python, and knowledge of statistical analysis and machine learning algorithms.
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