Business Data Analyst

USC is a leading private research university located in the heart of downtown Los Angeles – a global center for arts, technology, and international business. As the largest private employer in the city – responsible for more than $5 billion annually in economic activity in the region – we offer the opportunity to work in a dynamic environment in careers that span a broad spectrum of talents and skills.

As a USC employee, you will enjoy excellent benefits and perks, and you will be a member of the Trojan Family – the faculty, staff, students, and alumni who make USC a great place to work.

The USC Dana and David Dornsife College of Letters, Arts and Sciences is seeking a Business Data Analyst in the Dornsife Business Office The largest and oldest of the USC schools, USC Dornsife functions as the academic core of the university, offering courses and advancing knowledge across the humanities, social sciences and natural sciences.

The Business Data Analyst is central to the Decision Support Department, providing the strategic foundation necessary for the school's growth and success. This role plays a critical strategic and operational support function by conducting rigorous quantitative analysis.

The Analyst will deliver data-driven insights to the executive leadership and operational units, ensuring that all key decisions are informed, effective, and fully aligned with the school's strategic mission and long-term objectives.

Responsibilities

• Data Wrangling (Extract, Prep, Transform)
• Aggregating, calculating, transforming, and converting data
• Ensuring data accuracy and relevance
• Creating Visualizations
• Distributing visual insights to stakeholders via multiple methods
• Making data accessible and understandable
• Data Security and Compliance
• Safeguarding sensitive information
• Ensuring adherence to data security protocols
• Creating Dashboards and Ad Hoc Reports
• Utilizing tools like Tableau, Power BI, Power Query, and Excel
• Presenting data in formats tailored to the school and its leadership

Preferred qualifications

• 3+ years of professional data analysis experience.
• Expertise in Financial, Human Resources, student, or similar enterprise datasets.
• Highly proficient in data visualization using Tableau.
• Skilled in data wrangling/transformation techniques.
• Working knowledge of Python (or R) for data analysis and scripting.
• Solid understanding of database structures (SQL) and data collection methodologies (e.g., surveys, tests).
• Background in Data Analytics, Statistics, or Computer Science.
• Familiarity with the Workday system is a plus.

Salary range

The annual base salary for this position is $84,855 - $95,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

To support the well-being of our faculty and staff, USC provides benefits-eligible employees with a broad range of perks to help protect their and their dependents’ health, wealth, and future. These benefits are available as part of the overall compensation and total rewards package. You can learn more about USC’s comprehensive benefits here.

Performs other related duties as assigned or requested. The university reserves the right to add or change duties at any time.

Required Documents and Additional Information

• Resume and cover letter required (may be uploaded as one file). Please do not submit your application without these documents.
• Job openings are posted for a minimum of (5) five business days. This job may be removed from posting boards and filled any time after the minimum posting period has ended, so please apply on the same business day if interested.

Minimum Education: Bachelor's degree Minimum Experience: 1 year Minimum Field of Expertise: Proficient PC skills. Working knowledge of databases, spreadsheets, word processing and statistical software programs. Knowledge of business statistics and data analyses techniques. Ability to manage and analyze data. Strong analytical thinking and problem solving skills.