Position Summary
This position requires a balance of complex data analysis and hands-on budget operations including routine transaction monitoring budget to actuals variance analysis and day-to-day support for departmental users. The successful candidate will thrive in a mission-driven public-sector environment where collaboration adaptability and relationship-building are as important as technical proficiency. This role is ideal for candidates who enjoy helping others understand financial data take pride in building relationships across campus and are comfortable moving between high-level analysis and operational support. The Budget Analyst serves as a key liaison between the BPO and departments across the university translating financial data into actionable insights for both technical and non-technical audiences. The role plays a central part in budget planning conversations supporting alignment between institutional goals and resource allocations and helping departments understand their financial standing in the broader university context. Strong customer service orientation and communication skills are addition to liaison responsibilities the Budget Analyst brings technical and functional expertise in budget development financial modeling and reporting. This includes working with data from multiple sources to develop clear accurate insights; creating structures that support both regular and ad hoc reporting; and conducting financial analysis to support institutional decision-making. Experience with SQL and relational databases is preferred though comparable experience with other tools will be considered.
Preferred Qualifications
Masters degree in Finance Economics Accounting Business Administration or a related field. Proficiency with relational databases to access organize and analyze structured financial or operational data. 5-7 years of experience in budget analysis in higher education or another public sector. At least 3 years of experience conducting technical data analysis including working with complex datasets building reports forecasts or models and using analytical tools to extract and interpret data. Demonstrated experience communicating analytical results and financial insights to senior leadership or executive stakeholders. Experience using a scripting language (e.g. SQL Python or R) to analyze and manipulate financial and operational data. Experience working collaboratively on a remote or hybrid team to deliver high-quality outcomes.
Required Experience:
IC