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Position title: Data Analyst
Position location: Remote
Supervisor’s name and title: Kyle Unruh, Director of Data Services and Solutions
The Data Analyst will be a subject matter expert on the Unizin Data Platform (UDP) and interface with our member institutions on new data assets, querying data within the Google Big Query environment, data modeling, visualizations, and technical questions/requests. The Unizin Data Platform is hosted in Google Cloud, so cloud-native analytics tools (BigQuery, CloudSQL, etc.) will be leveraged. Also, visualization layers are key to our member institutions (Tableau, PowerBI, Superset, etc.).
Equally important is support for institution analysts and researchers. This role also requires meeting with UDP users and stakeholders to understand their priorities and challenges with data, as part of both onboarding new institutions as well as working with existing members. This individual will also craft data solutions alongside our members in a consulting capacity.
Minimum education:
Bachelor’s degree in information systems, engineering, computer science, math, statistics or other related fields required. Combinations of related education and experience will be equally considered!
Minimum experience:
At least 2 years of systems or business analysis or applicable field
Required knowledge, skills and abilities:
- Strong experience with SQL to manipulate data
- Strong experience navigating and manipulating relational databases and ETL processes
- Strong experience with visualization tools and reporting/dashboards
- Experience working with end users in a consulting or technical support capacity to solve complex problems collaboratively
- Demonstrated skill with business analysis, process mapping, and design of complex systems and processes. Position requires excellent oral, written and listening skills, ability to interpret complex environments and communicate with customers from both technical and non-technical backgrounds
- Demonstrated technical, analytical, and problem-solving skills to take business requirements and abstract them into models and concepts
- An ability to concisely and accurately document team actions such as decisions, assumptions, issues, and challenges
- Excellent interpersonal and communication skills necessary for working collaboratively and strategically within a diverse environment
Other Notable Knowledge and skills (preferred):
- Experience with machine learning and predictive analytics
- Strong background in statistics
- Experience with cloud-native technology (AWS, GCP, Azure, etc.)
- Experience in higher education analytics
- Experience with AI and LLMs
- TECHNICAL TOOL REQUIREMENTS
- SQL - Unizin uses Google BigQuery, but any “flavor” of SQL qualifies (PostgreSQL, MySQL, SQLite, MSSQL, etc.)
- Scripting - Python and/or R; Jupyter Notebooks
- Version Control - Git; comfort writing documentation in Markdown
- Visualization - Tableau, PowerBI, Apache Superset, Qlikview, Looker Studio
- LEVEL OF DECISION MAKING
The position will be required to participate on a cross-functional team on medium to large projects/assignments. Position will have to perform full range of standard level work that typically requires interpreting, more complex, less clearly-defined issues. The position will have to identify problems and possible solutions and take appropriate action and resolve.
Over time, this position will become a subject matter expert in learning analytics and a go-to resource for our member institutions.
Must be comfortable working with a computer daily for several hours. Must be able to communicate detailed work verbally and in writing. Must be able to context switch for concurrent task and interruptions, when they arise.
Unizin is proud to be an equal opportunity workplace and is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability, or gender identity. Accommodations will be provided to any candidate with special needs who requests them.
At this time, we are unable to sponsor applicants for work visas. Candidates must be authorized to work in the United States without current or future sponsorship.
If you are a resident of a state with designated pay transparency requirements and this role is available remotely, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request. Please send an email to kyle.unruh@unizin.org.
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