CASS Student Developer - Data Analytics

Position Information Job Title CASS Student Developer - Data Analytics Appointment Type Student Employee Job Location Corvallis Position Appointment Percent 100 Appointment Basis 12 Pay Method Hourly Pay Period 16th - 15th of the following month Pay Date Last working day of the month Remote or Hybrid option? Min Hourly Rate $15.05 (Standard); $14.05 (Non-Urban); $16.30 (Portland Metro) Max Hourly Rate $21.50 (Standard); $21.00 (Non-Urban); $22.00 (Portland Metro) Position Summary This recruitment will be used to fill one part-time (a maximum of 20 hours per week) Student Developer - Data Analytics with CASS Software Development Group position for the School of Electrical Engineering and Computer Science at Oregon State University (OSU). Data analysis is a vital skill for all software developers. This position will be working with customers in real environments, solving real problems using programing 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 performputer development projects. Student jobs/internships average 1 to 3 years in length and most graduates are hired by technologypanies. 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, andmunication. This position is responsible for reporting to work at a scheduled time and checking in with their CASS manager. Working remotely is accepted. Transferable Skill Development OSU ismitted to ensuring students are prepared for success after graduation through intentional skill development as student employees. Thepetencies students develop while working at OSU are defined by the National Association of Colleges and Employers (NACE) as the essential skills employers seek in their hires. In this position, students learn and build vital career-readiness skills in the primary areas below: Teamwork, Leadership, Professionalism, Technology, Career & Self-Development Position Duties Self-directed - Student Developers are assigned one or two projects by full-time staff. They are then expected toplete work items related to that project - either self-selected or assigned to them - within a reasonable amount of time. Student Developers can also expect to use task-tracking software to report their progress on work items. is available and encouraged - In order toplete these work items, Student Developers are expected to seek help when it is needed, either from full-time staff, other student developers, student mentors in CASS, or from the internet. Work as a team - Student Developers operate in a team environment; they attend virtual and in-person meetings in order to report their progress,municate issues that are blocking their progress, propose solutions to problems posed by stakeholders and other developers, and collaborate with CASS customers. For particularly difficult work items, Student Developers will pair-program with other Students or full-time Staff Examples of Work for Data Analytics - Review and analyze existing data models and reporting structures. Build and maintain new data models to support business intelligence needs. data filters, transformations, and normalization techniques to ensure data quality. Validate and confirm data accuracy through systematic testing and verification processes. Assist in troubleshooting data quality issues and implementing corrective measures. Minimum Qualifications Full Employment Eligibility Requirements can be found : hr.oregonstate.edu/student-employment-manual/500-employment-eligibility-requirements Must be academically enrolled in a high school,munity college, or university and pursuing a program or course of study Must meet Academic Standing Requirements; students on academic suspension are not eligible for employment Must meet the applicable minimal enrollment standard High School student: Regularly enrolled in a high school or participating in a home-schooling program Undergraduate and 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•International students may be allowed to carry fewer hours than specified above and still be considered "full-time" by the United States Citizenship and Immigration Services (USCIS). A reduced course load is approved by the Office of International Services (OIS), and must be provided to the Student Employment Center.

Additional Required Qualifications SQL Proficiency:

Demonstrated experience writing SQL queries, including joins, subqueries, and aggregate functions

Programming Fundamentals:

Basic programming skills in at least one language (such as 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 andmunicate findings to team members

Learning Mindset:

Eagerness to learn new technologies and adapt to evolving requirements Relevant coursework: Databases, statistics, or data analysis Preferred (Special) Qualifications These are nice to have, but not required. If you meet the minimum requirements listed above, please consider ing even if you don't have all of the skills below:

Python:

Experience with data manipulation libraries (such as pandas, NumPy)

Database Technologies:

Familiarity with PostgreSQL, MySQL, Snowflake, or similar relational databases

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 inmand-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 / Work Schedule Typical work schedule is at least 2-hour-consecutive periods between 8am and 6pm, Monday through Friday. Minimum 15-hours per week during the academic term. With the possibility of up to 40 hours during breaks if t is work to bepleted Posting Detail Information Posting Number

P13018SE

Number of Vacancies 1 Anticipated Appointment Begin Date 05/01/2026 Anticipated Appointment End Date Posting Date 04/03/2026 Full Consideration Date Closing Date 04/25/2026 Indicate how you intend to recruit for this search Competitive / Student - open to ALL qualified/eligible students Special Instructions to Applicants When ing you will be required to attach the following electronic documents: • A Resume • A Cover Letter For additional information please contact: Padraic McGraw at padraic.mcgraworegonstate.edu 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 prior to hire.

Note:

All job offers are contingent upon Human Resources final approval