CASS Student Developer - Data AnalyticsOregon State University • United States
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CASS Student Developer - Data Analytics
Oregon State University
- United States
- United States
À propos
Data analysis is a vital skill for all software developers. This position will work with customers in real environments, solving real problems using programming and data analytics skills.
The Center for Applied Systems and Software (CASS) exists as an on‑campus student internship program. Hourly students are hired and trained by full‑time developers or student managers to perform computer development projects. Student jobs/internships average 1 to 3 years in length and most graduates are hired by technology companies. In addition to the technical and development skills students gain, they also learn how to work as a member of a team, gain an appreciation of the importance of deadlines, and other facets of running a business such as planning, budgeting, resource allocation, documentation, and communication.
Responsibilities
Report to work at a scheduled time and check in with the CASS manager.
Work remotely, if accepted.
Manually or automatically track and report progress using task‑tracking software.
Seek help from full‑time staff, other developers, staff & internet resources when needed.
Attend virtual and in‑person meetings to report progress, communicate issues, propose solutions, and collaborate with stakeholders and developers.
For data analytics, review and analyze existing data models, build and maintain new models, apply data filters, transformations, and normalization techniques, validate accuracy through systematic testing, and help troubleshoot data quality issues.
Qualifications
Academically enrolled in a high school, community college, or university and pursuing a program or course of study.
Meeting Academic Standing Requirements; students on academic suspension are not eligible for employment.
Minimum enrollment standard:
High School student: regularly enrolled in a high school or participating in a home‑schooling program.
Undergraduate & post‑baccalaureate student: 6 credit hours per term.
Undergraduate international student: 12 credit hours per term.
Graduate student officially admitted to Graduate School: 5 credit hours per term.
Graduate international student officially admitted to Graduate School: 9 credit hours per term.
SQL proficiency: Demonstrated experience writing SQL queries, including joins, subqueries, and aggregate functions.
Programming fundamentals: Basic programming skills in at least one language (Python, Golang, JavaScript/TypeScript, or equivalent).
Data concepts: Understanding of database fundamentals, data types, and basic data modeling principles.
Analytical thinking: Strong problem‑solving skills and attention to detail.
Communication: Ability to clearly document work and communicate findings to team members.
Learning mindset: Eagerness to learn new technologies and adapt to evolving requirements.
Relevant coursework: Databases, statistics, or data analysis.
Preferred Qualifications
Python with data manipulation libraries such as pandas, NumPy.
Database technologies: Familiarity with PostgreSQL, MySQL, Snowflake, or similar.
Data visualization: Basic knowledge/understanding of data visualization tools.
Version control: Understanding of Git and collaborative development workflows.
Cloud platforms: Exposure to AWS, GCP, or Azure data services.
Data pipeline tools: Awareness of ETL tools (Apache Airflow, dbt, or similar).
Linux/Unix: Comfortable working in command‑line environments.
Statistical analysis: Basic understanding of descriptive statistics and data validation techniques.
Open source: Interest in or contribution to open source projects.
Academic or personal projects involving data analysis or database management.
Working Conditions / Schedule
Typical work schedule: at least 2‑hour consecutive periods between 8 am and 6 pm, Monday through Friday.
Minimum 15 hours per week during the academic term; up to 40 hours during breaks if work is available.
Equal‑Opportunity Statement We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status.
OSU will conduct a review of the National Sex Offender Public website prior to hire.
Note: All job offers are contingent upon Human Resources final approval.
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Compétences linguistiques
- English
Avis aux utilisateurs
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