Data Analytics Fellow for Advancement

Data Analytics Fellow for Advancement

• 493366
• Gambier, OH, Ohio
• Advancement Information Svcs
• Exempt Staff

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Kenyon College is seeking applications for a Data Analytics Fellow in the Advancement division. This is an entry-level, two-year, full-time position that is eligible for benefits. It is designed as a postbaccalaureate position geared toward recent college graduates who want to gain experience and benefit from strong technical and professional mentorship. This is a hybrid position requiring three days on premises per week.

About Us: Join our Team

Kenyon College, one of the nation's finest liberal arts colleges, is a small school where academic excellence and a strong sense of community go hand in hand. Kenyon's beautiful hilltop campus is located in Gambier, OH, 45 miles northeast of Columbus, OH.

The Advancement division is a high-performing and committed team focused on engaging alumni and parents and raising philanthropic support for Kenyon. We're rich in data and are seeking a strong partner to help us understand the patterns in our data to help drive our decision-making. We offer excellent work-life balance through a flexible work environment with regular hybrid work possibilities. Professional development is valued: we focus on learning new skills, seek to grow in our understanding of the world around us, and explore new technologies.

About the Position: Do Work that Matters

The Data Analytics Fellow for Advancement reports to the Director of Advancement Systems and will collaborate extensively with other members of the Advancement division. The Data Analytics Fellow's primary focus is enhancing data comprehension, visibility, and usefulness through modeling, analyzing and presenting results to support strong decisions.

Responsibilities

Data modeling and presentation

• Create and develop data models to identify trends, priorities and potential volunteers and donors. Collaborate with colleagues to identify key questions and understand issues and requirements related to engagement and philanthropy. Iterate on model development in conjunction with stakeholders, then test and fine-tune results.
• Present results in multiple formats to assist in data-driven decisions and communication.
• Research and define best practices for data tidying, modeling, and presentation of results, in conjunction with AIS colleagues.
• Develop processes to operationalize approved data models to be usable at scale and frequency.
• Develop new solutions to improve Advancement's understanding of data through reports and analytics; improve efficiency and enhance capabilities of the division through good data handling and communication practices.
• Use internal tools or approved external tools, including AI, in a manner consistent with Kenyon's data privacy and confidentiality expectations.

Slate Reporting

• Use Slate (the Advancement division's CRM) to create and maintain queries, reports, and forms for the Advancement division and other offices as appropriate.
• Extract and prepare data for multiple uses, including industry-wide surveys, in a reliable, flexible, and reusable way.

User Support and Training

• Assist colleagues in providing Slate technical support for 45+ users.
• Assist in training Advancement staff in the use of data models, results, Slate and other systems.
• Assist with determining educational needs of new and veteran staff members, including scheduling trainings or individual sessions to meet their needs.
• Troubleshoot problems related to all Advancement data and systems.

Knowledge, Skills and Abilities

• Strong technical skills paired with the ability to understand the divisions' needs, develop high quality solutions, and communicate those solutions to colleagues.
• Strong interpersonal skills with the ability to communicate well verbally and in writing. Willingness to communicate proactively and to respond promptly to communication from others, as appropriate.
• Proven ability to work with a high degree of independence, maintain confidentiality, and manage time effectively.
• Strong organizational skills and attention to detail.

Minimum Qualifications

We value both education and experience. A successful candidate should be comfortable with data and technology, be curious, and love to learn. These are the minimum requirements for a successful candidate:

• Bachelor's degree, or a combination of relevant education and/or experience.
• Experience developing data models, analyzing and interpreting results and presenting results to end users.
• Experience with, or a strong interest in, using AI as a tool to analyze data.

Preferred Qualifications

These are preferred qualifications for a successful candidate:

• College level courses or equivalent experience in data modeling and analysis and programming.
• Data handling knowledge: structures, tidying, transforming, visualizing, modeling, and communicating. SQL programming and/or scripting languages such as Python or R are preferred. Experience with Power BI is a plus.

Application Process

Applicants should submit a cover letter, resume and references. Kenyon is interested in the interests and backgrounds of our employees. In your cover letter, please include a description of how your background and interests will help you successfully support Kenyon's work and mission.

Compensation and Benefits

Salaries at Kenyon are competitive and commensurate with experience. In addition to an attractive salary, Kenyon offers benefits for employees and their family members. Children of employees are eligible for 100% tuition waivers at Kenyon, and through the Great Lakes Colleges Association, children of employees are eligible for 90% tuition waivers at twenty-three other of the nation's finest liberal arts colleges.

We also offer health, dental and vision insurance, TIAA retirement, and many other benefits, including provisions for a spouse, families, and domestic partners. Details about benefits as well as conditions of employment are described more fully in our Staff Handbook.

Kenyon is a unique place to live and work. To discover why it should be your next home, click here.

Kenyon College is an equal opportunity employer, and we welcome applications from all qualified individuals. It is the College's policy to evaluate qualified applicants without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, physical and/or mental disability, age, religion, medical condition, veteran status, marital status, or any other characteristic protected by institutional policy or state, local, or federal law. Kenyon College has a strong commitment to an inclusive environment that welcomes all voices and perspectives.

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