My Experience as a Hiring Manager in 2025 at a Union Manufacturing Facility [OC] Visualization
![My Experience as a Hiring Manager in 2025 at a Union Manufacturing Facility [OC] Visualization](/api/images/reddit-maps/1qni3kr_1769443203380.jpg)
Data Analysis
What This Visualization Shows
This data visualization displays "My Experience as a Hiring Manager in 2025 at a Union Manufacturing Facility [OC]" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on I posted this last year, and it got a lot of traction- so here are the results for 2025!
Visualization made using Sankeymatic and information compiled throughout the year after each stage of the recruitment process.
Some more information:
\- This was just for 2025 (Jan-Dec). We were more selective with who we called this year, although the benefits from that were mixed. Many applications are blank with just their name or the location of their current/previous job.
\- Pay is good for the area. 60k to 100k . I would say the average is about 75K a year. Excellent healthcare, 401k, etc. Plus union benefits (shift differential, double time Sunday, call time, etc.)
\- HS diploma or GED is the only requirement to work. We actually really like hiring folks right out of high school when possible.
\- The biggest deterrent is that we run 24/7/365 and operate a northern swing shift, which makes it difficult for some to manage. Weekends, nights, holidays, etc. We are running. The difficulty of work is hit and miss. Some tough days, some easy days. Not an easy schedule, but this is very common in our manufacturing sector.
\- I left voicemails for every non-answer that had a working phone number or open voicemail box. I found that emails get a non-existent response rate.
\- Small town and generally impoverished area. Very "blue collar" workforce.
\- The bar to pass an interview is low. Just be able to maintain a conversation, understand the job requirements, and indicate a desire to learn.
\- Orientation is 3 days of paid training for OSHA 10 certification and some overview of the company organization. We get a good indication of who isn't going to make it here, as many will be late their first few days of work.
Many of these were through Indeed job postings, and I've found that emails go unanswered, so I always call and set up an in-person interview if they are interested in the job after hearing the hours and requirements., which allows us to understand complex relationships and insights within the data through visual storytelling.
Deep Dive into the Topic
This data visualization represents a sophisticated analysis of complex information patterns that provide valuable insights into underlying trends and relationships. Data visualization serves as a bridge between raw numerical data and human understanding, transforming abstract statistics into comprehensible visual narratives.
The power of data visualization lies in its ability to reveal patterns, outliers, and correlations that might not be apparent in traditional tabular formats. Through careful selection of chart types, color schemes, and interactive elements, effective visualizations can communicate complex information quickly and accurately to diverse audiences.
Modern data visualization combines statistical analysis with design principles to create compelling visual stories. This interdisciplinary approach requires understanding both the underlying data and the cognitive processes involved in visual perception. The result is more effective communication of quantitative insights that can inform decision-making and drive positive change.
Data Analysis and Insights
The patterns revealed in this visualization demonstrate the importance of systematic data analysis in understanding complex phenomena. By examining different data segments, time periods, and categorical breakdowns, we can identify trends that inform strategic planning and decision-making processes.
Statistical analysis of this data reveals variations across different dimensions that provide insights into underlying drivers and relationships. These patterns help identify areas of opportunity, potential risks, and key performance indicators that can guide future actions and resource allocation.
The analytical approach used in this visualization enables comparison across different categories, time periods, or geographic regions, revealing insights that support evidence-based decision-making. This type of analysis is essential for organizations seeking to optimize performance and understand complex market dynamics.
Significance and Applications
This data visualization has important implications for understanding trends and patterns that affect decision-making across multiple sectors. The insights derived from this analysis can inform policy development, business strategy, resource allocation, and operational improvements.
For analysts, researchers, and decision-makers, this type of data visualization provides essential insights for strategic planning and performance optimization. Whether addressing operational challenges, market analysis, or policy development, understanding data patterns helps create more effective strategies and solutions.
The broader significance lies in how this information contributes to our understanding of complex systems and relationships. This knowledge helps predict future trends, identify potential challenges, and develop more informed approaches to problem-solving and opportunity identification.
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About the Author

Alex Cartwright
Senior Data Visualization Expert
Alex Cartwright is a renowned data visualization specialist and infographic designer with over 15 years of experience in...