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The Financial Information System for California (FI$Cal) is seeking to hire a talented, highly motivated student to assist with data management, analysis, and visualization using various business intelligence tools. This position will help FI$Cal better serve the people of California by unlocking key insights in our data and sharing it internally, with state departments, and with the public.
The student assistant will also work within FI$Cal’s Government Affairs Office, Data Analytics Section and report to the Staff Services Manager I. The student assistant will be working with a variety of teams and staff at FI$Cal, including the Information Technology Division and the Business Operations and Solutions Division, among others.
We are seeking a motivated and detail-oriented individual to join our team as a Student Assistant Data Analyst. This is a fantastic opportunity for students looking to gain valuable experience in the field of data analysis while working remotely. As a part-time team member, you will contribute to various data projects and assist in analyzing and interpreting data to support our company’s objectives.
Key Responsibilities:
Collaborate with our data team to collect, clean, and organize datasets.
Assist in conducting statistical analysis and data visualization.
Support in generating reports and presentations based on analyzed data.
Contribute to ongoing data quality assurance processes.
Communicate findings effectively to team members.
Requirements:
Currently enrolled in a degree program related to Data Science, Statistics, Computer Science, or a related field.
Strong analytical skills with a keen attention to detail.
Proficiency in Microsoft Excel or Google Sheets.
Familiarity with data analysis tools such as Python, R, or SQL (preferred but not required).
Excellent communication skills, both written and verbal.
Ability to work independently and manage time efficiently.
Access to a reliable internet connection for remote work.
Benefits:
Flexible work hours tailored to fit your schedule (3 hours per day).
Opportunity to gain hands-on experience in data analysis.
Remote work setup allowing for a comfortable and convenient working environment.
Mentorship and guidance from experienced professionals in the field.
Competitive hourly rate.
