OPS Data Assistant

The OPS Data Assistant at the Main Campus primarily focuses on collecting, organizing, and entering Faculty Activity Reporting (FAR) data. Responsibilities also include data cleaning, troubleshooting discrepancies, and communicating with faculty to clarify any questions related to the FAR data.

To qualify for the OPS Data Assistant position at the Main Campus, candidates need a high school diploma or equivalent, along with two years of experience in data entry. Proficiency in Microsoft Office applications is essential, and a basic understanding of mathematical operations is preferred.

The OPS Data Assistant contributes to data integrity by accurately entering and reviewing FAR data, identifying discrepancies during data cleaning processes, and collaborating with the Data Management Analyst to address any data issues that arise during Instruction and Research Data submissions.

Key skills for the OPS Data Assistant role include meticulous attention to detail, strong interpersonal and communication skills, and proficiency in basic mathematical concepts. The ability to work both independently and as part of a team is also highly valued.

A typical day for an OPS Data Assistant involves collecting and entering data into systems, cleaning and verifying data accuracy, troubleshooting data issues, and communicating with faculty effectively to resolve any queries regarding their reports.

When answering this question, highlight your previous data entry experiences, emphasizing your attention to detail and ability to work with large volumes of data. Discuss specific software you've used and how you managed to meet deadlines.

To respond effectively, mention your strategies for double-checking entries, using verification techniques like reconciliation or data validation processes, and how you handle discrepancies when they arise to maintain accuracy.

In your answer, express your proactive approach, suggesting that you would reach out to the faculty member promptly to clarify any uncertainties while ensuring that your communication is clear and respectful.

Discuss your specific proficiency with Excel, particularly any advanced functions, data analysis tools, or formulas you have used, demonstrating your capability to handle data processing efficiently.

Explain your time management strategies, perhaps mentioning prioritization techniques, setting milestones for tasks, and any tools you use to keep your workflow organized. Highlight your ability to handle multiple priorities.

Emphasize the role of effective communication in clarifying data submissions with faculty, collaborating with the Data Management Analyst, and how it impacts team efficiency and data integrity.

In your response, consider mentioning techniques you use to maintain focus during repetitive tasks, such as breaking tasks into smaller segments, taking short breaks, or using music or environmental factors to stay engaged.

Describe your conflict resolution strategies, highlighting the importance of calm communication, understanding different viewpoints, and a shared focus on resolving the data issue rather than personal differences.

Talk about your passion for accuracy and data integrity, as well as your desire to contribute positively to your team and the institution's research goals. Personal anecdotes can help enrich your answer.

Reiterate the critical importance of attention to detail in managing FAR data and how it directly affects the overall quality of research output and institutional integrity, sharing any relevant experiences you've had.