[OC] New Graduate in Los Angeles, One year job hunt Sankey to land an entry level FP&A position. Visualization

July 4, 2026
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AC
By Alex Cartwright
[OC] New Graduate in Los Angeles, One year job hunt Sankey to land an entry level FP&A position. Visualization
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Data Analysis

What This Visualization Shows

This data visualization displays "[OC] New Graduate in Los Angeles, One year job hunt Sankey to land an entry level FP&A position." and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on **Title Edit**: I can't fix the title unfortunately. For those reading, FP&A stands for Financial Planning and Analysis and it is the basically the finance department in a company that isn't a Tax or Accounting/bookkeeping job.

For those of you that are in the job hunt or are obsessed with data as much as I am, this post is for you. I know how frustrating it feels to be in your position, trust me. Even though the following is from blind applying to job boards I suggest you still spend most of your energy networking and getting referrals.

In this post you'll find a Sankey diagram that summarizes my search. Take a look!

Since I started my job search on August 23, 2025 I spent 313 days or about 45 weeks of applying to positions into what felt like a void, including over 1,100+ emails and endless calls and texts in that time.

From August 23, 2025 until July 1, 2026, I applied to a total of 806 jobs across the three major job boards; LinkedIn, Indeed, and Handshake, resulting in 29 interviews, 294 rejections, and 483 employers that didn't send updates.

To breakdown each major job board, I summarized the results as follows:

I applied to 450 jobs on LinkedIn: this led to 20 interviews, 180 denials, and 250 ghosts. I applied to 211 jobs on Indeed: this led to 7 interviews, 106 denials, and 98 ghosts. I applied to 145 jobs on Handshake: this led to 2 interviews, 8 denials, and 135 ghosts.

LinkedIn Application to Response Yield Ratio of 44%. Indeed Application to Response Yield Ratio of 54%. Handshake Application to Response Yield Ratio of only 7%.

If I were to start again I suggest most of your focus on Indeed and LinkedIn if you want to stick to the major three. Though not in my data set, I also found and heard major success from peers that use HiringCafe and Bandana.

Perseverances and networking are what tests your resilience and pays off, I promise you!

Sankey created with [Sankeymatic](https://sankeymatic.com/). Data compiled manually with an Excel spreadsheet., 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

Alex Cartwright

Senior Data Visualization Expert

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

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Visualization Details

Published7/4/2026
CategoryData Analysis
TypeVisualization
Views6