Title: Junior Data Analyst
Location: Littleton, CO 80120
Duration: 6+ Months(possible extension)
Shift: Mon - Fri | 8:00 AM - 5:00 PM (hours can vary from 30 - 40 hours/week)
Pay Rate: $29.08/hr. on W2(without benefits)
Job Description:
- Client's Institutional Research team is seeking a motivated and detail-oriented part-time, entry-level Data Analyst to support data collection, analysis, and reporting initiatives that inform institutional planning and policy. This is a great opportunity for recent graduates or early-career professionals interested in data analytics, research, and the impact of higher education. The ideal candidate will have a strong working knowledge of Excel and Python to manipulate large amounts of data.
- Under the supervision of Institutional Research (IR) staff and following documented procedures, the entry-level Data Analyst will assist with specific, basic data analysis and standardization tasks to support reporting and deliverables. Responsibilities include contributing to discrete data projects under the guidance of IR analysts and the director, performing data draws and compiling data files, conducting data entry, manipulation, and validation, and transferring data to recurring reports.
- This posting is only open to residents of the State of Colorado at the time of submitting your application. Applications from out-of-state candidates will not be considered.
Qualifications:
- Strong analytical skills with the ability to compile, organize, standardize, analyse, and interpret large sets of data, and identify data anomalies and verify accuracy.
- Advanced proficiency with data transformation and analysis using Python and Excel or similar spreadsheet application (e.g., Google Sheets), including using Pivot Tables, formulas, data connection queries, and Power Pivot.
- Basic knowledge of statistical concepts and techniques.
- Knowledge of college and university data and/or related subject matter is ideal (e.g., students, enrolment topics, student success) is ideal, but possible related skillsets may be found from engineering, math and computer science, among other disciplines.
- Associate's degree or an equivalent combination of education and/or relevant experience.
- SQL query, database design or management, and/or data normalization and standardization experience preferred, but not required
Application Instructions:
- Please submit a resume and cover letter detailing your experience and qualifications for this role.
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