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Art Business

Analyzing the Gender Gap in Retirement Readiness

This project explores gender-based disparities in retirement readiness within the United States. Drawing from public data sources including the Equable Institute, Pew Charitable Trusts, and AARP, it examines how lifetime income, work history, caregiving roles, and access to retirement tools contribute to measurable differences in long-term financial stability. The goal is to identify the top causes of these disparities, quantify their impact, and develop equity-focused recommendations that could help financial service providers design more inclusive planning tools and education.

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This case study also reflects my personal transition into the data analytics field. With a background in financial systems and bookkeeping, I bring both technical skill and a systems-thinking approach to problems that sit at the intersection of money, equity, and policy.

Role

Data Analyst (Solo)

Tools Used

Excel, Google Sheets, Tableau (in progress)

Timeline

July 17th, 2025 (Est. Completion)

Status

In Queue

Skills Showcased

Data Cleaning, Trend Analysis, Equity Framing, Business Recommendations

The Overlooked Gaps in Retirement Planning

Retirement readiness in the United States shows consistent disparities across gender lines, with women and marginalized genders often reaching retirement age with significantly fewer financial resources than cisgender heterosexual men. These differences are influenced by a range of systemic factors, including lifetime earnings, unpaid caregiving roles, part-time or interrupted work histories, and unequal access to retirement planning tools and benefits.

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Note: While most available datasets track binary gender categories, this analysis acknowledges that nonbinary and trans individuals face unique retirement barriers — and that the limitations of available data do not reflect the full scope of gendered financial inequity.

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While a handful of firms have begun to offer more inclusive services, the majority of mainstream retirement tools and education still follow a one-size-fits-all model — often built on assumptions of uninterrupted, full-time employment and traditional household structures that don’t reflect the realities of many individuals’ lives. As a result, those most at risk of financial instability in retirement often have the least tailored support.

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This project aims to analyze publicly available data to better understand how and why these disparities arise. By identifying specific contributing factors and quantifying their impact, the goal is to generate evidence-informed insights that can support more inclusive and effective financial planning. This analysis does not assume conclusions; it is exploratory in nature and designed to surface actionable questions as much as answers.

Goals & Questions

Goals & Questions

Why is skincare overwhelming?

Because product options are endless and full of unclear claims.

Why are the claims unclear?

Because marketing language often hides or overhypes ingredients.

Why don’t people know which ingredients to trust?

Because trustworthy, science-based ingredient info is scattered or technical.

Why isn’t there an easy way to evaluate products by what’s inside them?

Because most skincare tools focus on reviews or skin types, not ingredient function or combinations.

Why does this matter?

Because people—especially those with sensitive skin or chronic health conditions—waste money, damage their skin, or miss out on affordable, effective solutions.

Data Sources

Data Cleaning & Prep  

Exploratory Data Analysis 

Key Findings 

Recommendations

Recommendations

Reflection / Learning Outcomes 

Next Steps

Resume

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2025 Rachel Beeson. All rights reserved.  
This portfolio and its contents are for educational and professional showcase purposes only.

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