Education:

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Accountancy, or related field.

Experience:

Five (5) years of relevant experience conducting data analysis, data mining, or data visualization or, an equivalent combination of education and experience. Competencies/Technical/Functional Skills:

Actively seeks opportunities to influence, build and sustain successful relationships and gain alignment with peers, functional partners, and/or external partners to accomplish business college objectives.

Ability to participate as an active team member of the team and organization and work toward a common goal.

Accepts personal accountability, proactively seeks resolution for personal limitations head-on; and supports honesty and respect towards others, the company, and oneself.

Develops new insights into situations; questions conventional approaches; encourages new ideas and innovations; designs and implements new or cutting-edge programs/processes. Ability to generate and/or recognize imaginative or creative solutions that generate successful outcomes.

Superior working knowledge in data collection, classification, analysis, techniques, and methodologies with proven ability to independently synthesize, implement, analyze, and report findings on research investigations. working knowledge of information technologies including high-level proficiency and understanding of data visualization, PeopleSoft, EPM, data mining, statistical analysis, cloud computing, and analytical programming languages such as SQL, R, and/or Python.

Knowledge:

• Systems analysis and design principles;
• Project management principles;
• Applicable programming languages;
• Process improvement principles;
• Operating systems;
• Customer service principles;
• Training principles;
• Computers and related software applications.

Skills:

2-5 years of data analysis experience and financial training in Enterprise Performance Management (Oracle EPM)

Extensive knowledge of PeopleSoft

Excellent written and oral communication skills

Strong critical thinking skills and a solutions-oriented, innovative approach to exploring data

Extensive knowledge of SQL and/or SAS required

Extensive knowledge of Power BI Desktop required

Working knowledge of Power BI Server required

Working knowledge of Microsoft Office suite of tools (Word, Excel, PowerPoint, Outlook) and videoconference software (Zoom, Microsoft Teams) Understanding of basic statistics and research methods

Experience working in higher education and/or institutional research a plus

Ability to develop strong, collaborative working relationships with colleagues in an onsite and virtual work environment

Needs to be flexible with a willingness to adapt to changes

Excellent organizational skills and flexibility to handle several projects simultaneously, prioritizing tasks and meeting deadlines

Ability to operate in the high-volume work environment

Proactive work style: will take initiative to make personal connections with key personnel internally and externally, take ownership of projects, and see them through to completion.

Ability to interact professionally with a diverse group of data users from various functional levels

Physical:

• Positions in this class typically require: reaching, standing, walking, grasping, feeling, talking, hearing, seeing and repetitive motions.
• Medium Work: Exerting up to 50 pounds of force occasionally, and/or up to 20 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects.