Okay, I've searched for full-time Data Input Specialist roles in Dayton, OH requiring proficiency in Microsoft Office Suite, a bachelor's degree preferred, and offering a pension plan benefit. I have found several suitable positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Input Specialist role at ABF Freight is fundamentally about ensuring accurate and timely entry, organization, and initial analysis of critical operational data that supports the company's transportation logistics functions. This position is key in maintaining the integrity and efficiency of data flows that directly impact daily operational decisions and reporting. The responsibilities reflect a need for precision under pressure—meeting deadlines in a fast-paced, potentially high-stress environment—while collaborating effectively within a team. Since the data handled likely spans freight schedules, shipping details, and operational metrics, accuracy and consistency are paramount to avoid costly errors. The role requires foundational office skills such as typing, filing, and report generation, but success hinges on the candidate's ability to thrive with repetitive yet essential data tasks combined with maintaining a positive attitude amid workload fluctuations. Required qualifications like proficiency in Microsoft Office and a typing speed of 40-50 wpm ensure candidates can efficiently manage digital records. Though a bachelor's degree is preferred rather than mandatory, prior data entry experience is important, signaling that the successful candidate must already be comfortable handling deadlines and understanding data flow in a logistical or operational setting. Given ABF Freight’s large-scale and multi-center operations, the specialist must be adaptable and ready to contribute to a team-oriented work culture that values dependability and consistency. Performance success in the first 6-12 months would involve demonstrating reliability in meeting data input deadlines, accuracy, proactive support on daily reports, and a seamless fit into the department’s workflow dynamic.

Company Analysis:

ABF Freight, an established leader within the less-than-truckload (LTL) shipping industry and a subsidiary of ArcBest, demonstrates a deep-rooted presence with over a century of experience and an expansive network across North America. The company's position as a trusted, large-scale carrier with 240 service centers underlines a stable, mature operational environment that blends traditional logistics reliability with customer-centric innovation. This context shapes the Data Input Specialist’s role as part of a broader, complex ecosystem where quality and punctuality are non-negotiable, emphasizing a culture attentive to safety and service excellence. The company’s benefits and unionized workforce reflect a value system prioritizing employee welfare, stability, and collective support, meaning candidates should expect a structured environment with clear labor standards but possibly less fluidity than at a startup. The work hours (evening to early morning shifts) and the mention of a high-intensity setting suggest the role is critical in supporting continuous operational processes—possibly aligning with real-time logistics data handling or next-day processing requirements. Being embedded in a large, team-oriented framework, this role likely reports within an operational or administrative team that interfaces closely with various internal departments to maintain data accuracy crucial for service delivery. Strategically, this is a support position essential to scaling and sustaining ABF Freight’s ongoing operations, making it a foundational hire for process stability rather than innovation. Candidates should be prepared for a role that requires patience, endurance, and precision in a mission-driven environment that values dedication and teamwork over rapid change.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to manage a tight deadline for data entry. How did you ensure accuracy and timeliness?
• Behavioral: Describe an experience where you worked as part of a team to achieve a departmental goal. What role did you play?
• Behavioral: How do you maintain motivation and a positive attitude during repetitive or high-pressure tasks?
• Behavioral: Share an example of when you identified and corrected a data entry error before it caused a problem. What steps did you take?
• Technical: What techniques or tools do you use to maintain high accuracy while inputting large volumes of data?
• Technical: How would you create or assist with daily reports to meet departmental needs? What data visualization or summary methods would you consider?
• Technical: Can you explain your process for organizing and interpreting varied types of data before inputting them?
• Technical: Describe your experience with the Microsoft Office Suite, specifically Excel, and how you would use it in this role.
• Situational: Imagine you notice a discrepancy in the data you are entering that conflicts with previously entered information. How would you handle this situation?
• Situational: Suppose the data entry workload suddenly increases and deadlines become tighter. How would you prioritize and manage your tasks?
• Situational: If a team member is not meeting their data entry deadlines, how would you approach this to maintain overall workflow?
• Company Fit: What interests you most about working for ABF Freight and being part of a company with a century-old legacy in logistics?
• Company Fit: How do you see your values aligning with ABF Freight’s commitment to quality, safety, and customer service?
• Company Fit: How do you handle working in a highly intense and possibly shift-based environment, as described for this position?
• Candidate Questions: Can you describe the typical team structure for this role and how collaboration is fostered across departments?
• Candidate Questions: What are the key challenges someone in this role faces during their first 6 months?
• Candidate Questions: How does ABF Freight support professional development and growth for employees in data or administrative roles?