Institutional Research Analyst
Position Summary -
The Institutional Research Analyst supports the data, research, and analysis needs of WGU to improve student outcomes. They will design, conduct, and report results of ad hoc research and analytical studies supporting academic and administrative planning, policy formulation, and evaluation. The ideal candidate is comfortable using a range of analytic methods to answer university questions. Analytic methods include summary statistics, statistical testing, time-series forecasting, and predictive modeling. The Institutional Research Analyst will need to be able to communicate results in automated reports that can be run on demand in Tableau and Cognos as well as in written and presentation form. In addition, this position will need to be able to work with internal customers to understand requirements and be able to design user stories. The analyst will use business user stories to define data acquisition requirements and develop, deploy, manage and revise reports and analysis supporting the user stories. This is a technical role that requires extracting and manipulating data using SQL and perform analysis in Python, R, or SAS.
Essential Functions and Responsibilities:
- Work closely and communicate effectively with business users and stakeholders.
- Extract and manipulate data using SQL. Develop database objects.
- Develop and deploy complex reports and dashboards.
- Manage change requests and troubleshoot data issues.
- Code and perform unit testing of developed code.
- Design process and business audits for data quality.
- Ability to attend to detail, manage multiple tasks and meet deadlines.
- Proficient analytical skill set and experience with creating, cleaning, and analyzing large data sets.
- Experience in designing, organizing, and managing multiple complex projects simultaneously and with meeting deadlines.
- Expertise in understanding, manipulating and querying large data sets with complex file structures.
- Experience and success with creative problem solving particularly with respect to innovative data applications.
- Ability to bridge communication and action between business user stories and technical requirements.
- Ability to explain complex data and research issues in a professional manner with technical and non-technical colleagues.
- Proficiency in SQL programing.
- Experience in data validation and testing to analyze, debug and fix issues.
- Experience in KPI development and application.
- Experience working with enterprise data warehouses.
- Experience developing and producing reporting using Cognos, Tableau, Power BI, or similar applications.
- Demonstrated knowledge of descriptive and inferential statistics.
- Knowledge of qualitative research analysis, methodologies and best practices.
- Excellent communication and documentation skills.
- Ability to work well in a team environment.
- Strong skills in MS Office applications.
- Ability to work with others as part of a project team as well as independently.
- Ability to work collaboratively and to build collaborative relationships.
- Strong analytical, interpersonal, and problem-solving skills.
- Ability to work with changing and multiple priorities and to work under pressure.
- Strong written communication skills, including reporting writing for a variety of audiences.
- Continuous improvement mindset.
- Friendly, life-long-learner.
- Competency in additional programming languages (Python, Scala, etc.).
- Experience coding in SAS, SPSS, Stata, or other recognized statistical software.
- Time-series forecasting, machine learning, advanced ETL development, Spark.
- Experience working in Higher Education.
- Experience working with Salesforce.
- Experience in survey design and sampling methodology.
Salt Lake City, Utah, United States