The Budget & Data Analyst will provide data expertise to the Budget and Planning Office, developing data structures to support both regular and ad hoc financial reporting. This role is responsible for the development, preparation, analysis, review, and reporting of the university’s annual all-funds budget, conducting complex financial analyses, and delivering actionable insights through data-driven decision-making.
The Budget Analyst will leverage expertise in data analytics, budgeted operations, and financial systems to develop efficient methodologies that enable the university to plan for and adapt to a highly dynamic financial environment. This position requires proficiency in
SQL or other programming language, relational databases, and financial reporting systems and
ERP platforms (e.g., Workday, Banner, People Soft, Oracle).
Additionally, this role will handle sensitive and confidential financial information, requiring a high level of integrity and discretion. Strong analytical skills, accuracy, and excellent written and verbal communication are essential. The ability to make thoughtful, independent decisions at both the departmental and divisional levels while managing multiple priorities under tight deadlines is required.
Departmental Information:
The Oregon Tech Budget and Planning Office (
BPO) supports the university’s mission by managing and optimizing financial resources to advance teaching, research, service, and outreach. Our office ensures that financial decisions are data-driven, equitable, and aligned with institutional goals.
The
BPO is committed to professionalism, integrity, and transparency, providing expert financial guidance while upholding the highest ethical standards. Our team fosters a culture of respect, fairness, and collaboration as we support Oregon Tech’s long-term financial health and sustainability.
https://www.oit.edu/budget-office
Qualification Requirements:
- Bachelor’s degree in Finance, Economics, Accounting, Business Administration, Data Analytics, Information Systems, or a related field.
- 3+ years of experience in budget analysis, financial planning, or data analytics.
- Proficiency in SQL for querying and managing relational databases. Experience with another programming language for analysis can be substituted.
- Experience with financial reporting tools and ERP systems (e.g., Workday, Banner, Oracle, People Soft).
- Strong data analysis skills using Excel, Power BI, Tableau, or similar tools.
Preferred Qualifications:
- Master’s degree in Economics, Finance, Data Analytics, Information Systems, or a related field.
- 5-7 years of experience in budget analysis, financial planning, or data analytics.
- Experience with Python, R, or other scripting languages for financial analysis and automation.
- Knowledge of public sector or higher education budgeting processes.
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