Student Assistant- DMV - Robotic Process Automation - Hybrid

DMV’s vision is to be a trusted leader in delivering innovative services. This vision is supported by its mission to proudly serve the public by licensing drivers, registering vehicles, securing identities, and regulating the motor vehicle industry. To learn more visit: California DMV The California Department of Motor Vehicles (DMV) is seeking to hire a student assistant to be part of the DMV Intelligent Automation Team in the Digital Transformation Office to provide support to process automation and workflow management efforts that utilize technologies from UiPath, SimpliGov, Microsoft SharePoint, Google Compute Platform, and Amazon Web Services. Conditions of Employment This is a part-time, temporary, non-benefited, student position. Employment in all positions with University Enterprises, Inc. is dependent upon the mutual consent of University Enterprises, Inc. and the employee. This means that either University Enterprises, Inc. or the employee can, at any time, terminate the employment relationship at will, with or without cause. Depending on the type of position you are applying for, a pre-employment background check consisting of one or more of the following may be conducted: employment history, professional references, criminal check: educational verification (degree, license, or official transcript) or DMV clearance. Applicants will be required to pass required pre-employment checks to the satisfaction of University Enterprises, Inc. (UEI) and the hiring Agency or Department. UEI does not allow students to hold more than one UEI Job at a time, or work in more than one account per pay period. UEI employees who are considering leaving their current UEI student assistant position for a different UEI student assistant position should inform their supervisor in writing and provide at least a week’s notice. UEI is not a multi-state employer. UEI only employs candidates who live and work in the state of California. If selected for the position you must reside in California and all work must be performed in the state of California throughout the course of employment. Prerequisites Must be a college student attending classes during the regular term (Fall, Spring and Winter, if applicable), at one of the accredited colleges or universities on our affiliation list. To view our current affiliation list please paste the following URL into your browser: http://www.calinterns.org/wp-content/uploads/Affiliation_List.pdf Students must be enrolled in at least: six-semester units or nine quarter units for undergraduate students; four-semester units or six quarter units for graduate students. Students declared major must match the major(s) listed in the job posting. Majors/Fields of Study Computer Science, Management Information Systems. Work Schedule F lexible workdays and work hours, Monday – Friday, between 8 AM – 5 PM, hybrid schedule. The final work schedule will be determined by the supervisor. Additional Work Schedule Student Assistant and Graduate Assistant employees generally work up to 24 hours per workweek (Sunday – Saturday) during the academic year and up to 40 hours per workweek during breaks; (winter, spring, and summer). Compensation $16.90 to 21.66 per hour.

Minimum Qualifications

• Ability to work i ndependently or as part of a team.
• Excellent interpersonal skills to interact with all levels of stakeholders, including but not limited to Business Analysts, Business Teams, Developers, Systems Administrators, etc.

Good problem-solving skills.

Preferred Qualifications

• Skills relating to:
• Data Analysis : Employ statistical techniques and data mining tools to analyze large datasets. Identify trends, patterns, and anomalies.
• Report Generation : Create clear and concise reports, dashboards, and visualizations to communicate insights to stakeholders.
• Data Visualization : Utilize data visualization tools to create engaging and informative charts, graphs, and infographics.
• Knowledge of using computer programming fundamentals, functional programming, data transformation, business requirements, technical documentation, automation, robotic processing, and web-based workflow management is a plus.

Experience with technical documentation, business requirements documentation, robotic process automation, business process automation, intelligent automation/ machine learning, web-based forms, and Amazon Wed Services ( AWS) Lambda development is ideal. Duties and Responsibilitie