WGU is looking to expand access to higher education through online, competency-based degree programs and needs a professional to help build a better future for individuals, communities, and the country.
Requirements
- Advanced knowledge in accessing, retrieving, manipulating, inserting, and deleting data from structured and unstructured databases.
- Advanced SQL proficiency, with experience writing queries and subqueries, modifying data (INSERT, UPDATE, DELETE), creating views, and knowledge of the different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning.
- Ability to interpret and design models that describe how data relate to one another and to the properties of the real-world entities they represent.
- Familiarized with versioning tools in the context of CI/CD (e.g., Github) and deploys models using the university’s machine learning operations (MLOps) self-service capabilities.
- Highly proficient and experienced in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps, in ways that make it easy to understand trends, patterns, and outliers.
- Advanced experience in the selection and deployment of a variety of mathematical models, forecasting methods (e.g., time series, inferential, regression), descriptive statistics, and classification algorithms to make predictions and identify relationships based on limited data sets.
- Considerable experience using Python, R, and/or Natural Language Processing in an ML environment, requiring little to no supervision.
Responsibilities
- Documents data, analytics, and research needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Translates user stories into technical requirements.
- Answers complex business questions requiring extensive knowledge of the university’s data assets across several domains and departments.
- Identifies adequate data sources and data sets to evaluate hypotheses and produce forecasts.
- Analyzes large data sets from both structured and unstructured sources and develops statistical and predictive models.
- Collaborates with Data Engineering in the development of ETL/ELT processes and data pipelines.
- Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university’s data.
- Utilizes software, scripts, and algorithms to perform complex data-related tasks (e.g., importing, cleaning, transforming, analyzing, displaying) without human intervention.
Other
- Bachelor's Degree in a related discipline
- 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
- Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements.
- Ability to perform with very high levels of autonomy, reliability, self-direction, and with a bias for action.
- Ability to apply sound judgement, systems-thinking and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive decisions that contribute to the achievement of university objectives.
