**Experienced Part-Time Data Entry Assistant (Typist) - Remote Academic Community Support Specialist**

About Us We are a non-profit organization deeply rooted in the classical liberal intellectual tradition, striving to inspire and cultivate academic discussions and research. Our mission is to enrich higher education and societal discourse by fostering a vibrant community of scholars and thinkers. We achieve this by supporting academia through fellowships, research funding, career development, and knowledge sharing. Position Overview We are seeking a detail-oriented and dedicated Part-Time Data Entry Assistant to join our team remotely. This role is pivotal in enhancing our understanding and engagement with our academic community. As a Part-Time Data Entry Assistant, you will be instrumental in collecting, analyzing, and meticulously entering data about faculty, students, and professionals within our network into our knowledge base. This is an opportunity to contribute to the growth of our academic community while expanding your own knowledge and analytical skills. Key Responsibilities Evaluate and collect data to bolster institutional knowledge and reporting capabilities. Discriminate between pertinent and non-pertinent information to ensure the integrity of our database. Input data regarding job affiliations and contact information into our management systems. Develop and maintain accurate and up-to-date records of our academic community. Assist in data analysis and reporting to inform our organizational decisions. Collaborate with our team to ensure seamless data integration and effective knowledge management. Stay up-to-date with industry trends and best practices in data management and analysis. What We Offer We are committed to providing a supportive and inclusive work environment that fosters growth, learning, and collaboration. As a Part-Time Data Entry Assistant, you can expect: A chance to be part of a mission-driven organization that values academic excellence and community engagement. An opportunity to work remotely, with occasional in-person gatherings to foster team connection and alignment. A supportive environment where your curiosity and desire to learn are valued and encouraged. A role that allows for significant contribution to the advancement of classical liberal ideas in academia. A competitive compensation package and benefits that reflect our commitment to your well-being and success. Who You Are We are looking for a highly motivated and detail-oriented individual who is passionate about data management and analysis. If you have: A keen analytical mind and excellent problem-solving abilities. The ability to maintain focus on detailed tasks, manage deadlines effectively, and handle multiple priorities. Strong communication skills, both written and verbal. Curiosity and a genuine eagerness to learn and grow. Preferred Qualifications While not required, the following qualifications are highly desirable: Over a year of relevant experience in data management and analysis. Familiarity with Google Suite and Salesforce (or similar CRM software). An understanding of, or interest in, classical liberal ideas. Basic knowledge of Academic Research. Commitment This position requires a weekly commitment of approximately 25 hours. We are flexible and open to discussing your availability and scheduling needs. How To Apply If you are passionate about data management and analysis, and are eager to contribute to the growth of our academic community, please submit a resume and a cover letter explaining your interest in the position and how our mission resonates with you. We look forward to learning more about your passion and how you see yourself contributing to our team. Employment Type This is a part-time remote position with a flexible schedule. We offer a competitive compensation package and benefits that reflect our commitment to your well-being and success. Apply Now Interested candidates are invited to submit their application through our website. We look forward to reviewing your application and discussing this opportunity further. Apply Job! Apply for this job