Senior Data Engineer (Project Management)
Summary:
- Reporting directly to the Associate Director of Regulatory Reporting & Academic Analytics, assists in the assembly and reporting of student data (i.e., retention, placement, graduation rates, learning outcomes, etc.) for externally mandated reporting (federal, state, and programmatic accreditors), administrative decision making, and strategic planning.
- Conducts research to determine best approach to collect required data.
- Gathers data by query, survey, etc., performs statistical analyses, provides reports and interpretation of findings for use by University administration and campus personnel.
- Supports the Associate Director by providing data extraction, analysis, interpretation, and preparation of reports.
- Provides information and analytic support to the University's administrative decision makers in order to facilitate strategic planning, policymaking, resource allocations, enrollment projections, and programmatic improvements.
Responsibilities:
- Supports the University's strategic response to external surveys, reports, and accreditation requirements, resolving issues of interpretation and definition. Collaborates with internal stakeholders to ensure compliance with mandatory data reporting.
- Extracts, validates, and prepares data for both internal and external reporting.
- Provides standardized student statistical reports on a weekly, monthly, and quarterly basis. Ensures comprehensive reports are developed in a timely manner with data including student enrollment, degrees awarded, demographics, numbers/FTE faculty, and admissions statistics within a specified time frame.
- Assists in the collection of data elements central to ongoing assessment, evaluation, review, and planning at the programmatic and departmental level. Contributes to a culture of transparency (e.g., updating University websites to include elements such as enrollment demographics, and placement rates, etc.). Utilizes various data sources such as CampusVue, admissions or exit exams, national or state board exams or others to analyze student success and make recommendations for improvement.
- Supplies student performance data for Annual Learning Outcome Reviews for student outcomes within academic programs. Provides additional data in support of assertions of student success or lack thereof, and related recommendations.
- Maintains regular and timely attendance, reports to work as scheduled and assures time worked and/or time-off is recorded properly.
Knowledge/Experience:
- Bachelor's Degree or equivalent to graduation from a four-year college or university, including or supplemented by advanced understanding and applications of data integration, data engineering, database administration or data analytics; Graduate study in computer science, information systems, economics, mathematics, statistics, or engineering is highly desired.
- Minimum of 3 years of working experience in data integration, data engineering, database administration, or data analytics.
- Prefer at least 3 years of experience in Higher Education and Institutional Research.
- Experience with languages for queries and analysis of data, such as Python and SQL.
- Experience with analyzing data for business context and prioritization of data integration implementations.
- Demonstrated advanced Excel skills (i.e., developing macros, pivot tables, etc.).
- Experience with business intelligence software (e.g., Power BI, Tableau) and the graphic display of quantitative data.
- Relevant experience in a higher education institutional research function preferred.
- Experience in higher education data management, data analysis and regulatory reporting.
- Experience with annual Integrated Postsecondary Education Data System (IPEDS) report requests.
- Experience in using computer-based tools such as data warehouses and data modeling software.
- Adept at working with data, including data integration, data quality, databases, and data analytics.
- Mastered the art of meeting deadlines while working at a fast pace under stress and pressure.
- Enormously cautious about protecting the privacy and security of data.
Compensation:
- $119,881.70 - $173,881.51
- Great Benefits Package
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