MBData Analyst, Business Intelligence and People Analytics Specialist
Molly Borough portrait

Data Analyst and Business Intelligence Specialist

I combine analytical rigor with a human centered perspective to transform complex data systems into practical insights and engaging stories for better decision making.

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Work samples

Portfolio includes externships applying scraping, analytics, and strategic design to onboarding and retention challenges in large-scale organizations and healthcare data contexts.

  • Amazon Operational Strategy & People Analytics Externship
    Amazon logo

    Amazon · Jun 2026 · ✅ Verified by Extern

    Amazon Operational Strategy & People Analytics Externship

    Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.

    Top performerData AnalysisPythonStrategyOperations
  • Employee Voice Sentiment Analysis

    Amazon Fulfilment Centers

    Employee Voice Sentiment Analysis

    Collected, cleaned, and structured employee feedback from Glassdoor and YouTube to create analysis-ready workforce datasets and designed a pilot-ready workforce intervention addressing recurring concerns related to leadership consistency, advancement transparency, and employee trust.

    PythonPandasNLTKQuantitative & Qualitative AnalysisWorkforce Data Analysis

About me

I combine analytical rigor with a human centered perspective to transform complex data systems into practical insights and engaging stories for better decision making.

I am Molly Borough, a Master's-educated professional.

Externships

Amazon Operational Strategy & People Analytics Externship

Completed · Jun 2026

Experience

Business Intelligence Analytics Fellow

Tripleten · May 2025 - Jan 2026

Medical Scribe & QA Specialist

DeepScribe · Dec 2021 - Dec 2022

Financial Customer Service Representative

Bank of America Team at Aucera · Jun 2020 - Apr 2021

Clinical Residential Manager

MARR Treatment Centers · Apr 2017 - Feb 2019

Program Director for Women's IOP

ALANA Recovery Center · May 2016 - Mar 2017

Graduate Research Assistant

Georgia State University, Urban Child Study Center · Aug 2014 - May 2016

Women’s Program Director & Primary Therapist

ALANA Recovery Centers · May 2016 to Feb 2017

Education

TripleTen

Business Intelligence Analyst Program · Class of 2026

Springboard

Data Analytics · Class of 2024

Georgia State University

Master of Science, Clinical Mental Health Counseling · Class of 2016

Georgia State University

Bachelor of Science in Psychology · Class of 2013

Skills

People analyticsWeb scrapingQuantitative analysisPersona-driven strategyOnboarding and retention designLearning program strategyHealthcare data analytics
Back to work
Amazon · Jun 2026 ↗

✅ Verified by Extern

Amazon Operational Strategy & People Analytics Externship

Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.

Data AnalysisPythonStrategyOperations

Overview

Designed a pilot-ready workforce intervention addressing recurring concerns related to leadership consistency, advancement transparency, and employee trust. Translated findings into a 5-slide executive pitch deck and briefing note structured for business stakeholders and senior leadership.

Amazon Operational Strategy & People Analytics Externship
Google Sheets
Access

What I've accomplished

Developed sentiment-by-theme summaries and a root-cause tree to connect employee experience issues with potential retention and engagement risks. Created friction maps linking employee pain points to downstream outcomes such as reduced trust, disengagement, and increased attrition risk. Defined the target segment, intervention owner, rollout approach, timeline, and measurable success indicators.

Top performer

Project breakdown

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Amazon Fulfilment Centers

Employee Voice Sentiment Analysis

Collected, cleaned, and structured employee feedback from Glassdoor and YouTube to create analysis-ready workforce datasets and designed a pilot-ready workforce intervention addressing recurring concerns related to leadership consistency, advancement transparency, and employee trust.

PythonPandasNLTKQuantitative & Qualitative AnalysisWorkforce Data Analysis

Overview

Collected, cleaned, and structured employee feedback from Glassdoor and YouTube to create analysis-ready workforce datasets and designed a pilot-ready workforce intervention addressing recurring concerns related to leadership consistency, advancement transparency, and employee trust.

Employee Voice Sentiment Analysis

What I've accomplished

Used Python to apply text preprocessing, tokenization, keyword frequency analysis, and sentiment scoring to identify recurring themes and differences in employee tone across platforms. Built visualizations including keyword charts and word clouds to communicate patterns in employee experience and workforce sentiment.

Outcome

Identified high-priority themes in employee feedback by combining keyword patterns, sentiment results, and representative comments. Segmented employee feedback by workforce characteristics such as role, tenure, and shift to identify groups experiencing the highest levels of friction. Compared pain points across segments and ranked priority cohorts based on business impact and necessity.

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Business Intelligence and Sales Analysis Dashboard

Analyzed business performance of restaurants registered with Zomato, a multinational restaurant aggregator and food delivery company. Developed a structured research plan, analyzed restaurant sales and revenue trends, designed an executive dashboard, and reported findings, conclusions, and actionabl

TableauSQLExcelData VisualizationBusiness IntelligenceData Storytelling

Overview

Analyzed business performance of restaurants registered with Zomato, a multinational restaurant aggregator and food delivery company. Developed a structured research plan, analyzed restaurant sales and revenue trends, designed an executive dashboard, and reported findings, conclusions, and actionable business recommendations.

Business Intelligence and Sales Analysis Dashboard

What I've accomplished

Used SQL to query, filter, aggregate, join, and analyze relational datasets while exploring business and sales trends. Analyzed restaurant sales and revenue data to identify performance trends, key business drivers, and opportunities for improvement across the Zomato platform using business KPIs and trend analysis.

Outcome

Built an interactive Tableau dashboard and accompanying written report that communicated findings through a cohesive visual story and translated analysis into actionable business recommendations.

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E-Commerce Funnel and Cohort Analysis

A spreadsheet built in Excel to analyze sales data and communicate findings aimed at executive stakeholders involving revenue, profitability, conversion funnels, cohort retention, churn, LTV, CAC, customer behavior, and operational performance.

ExcelPivot TablesVLOOKUPGoogle SheetsE-commerceFinancial ModelingFinancial AnalysisCustomer Journey Mapping

Overview

A spreadsheet built in Excel to analyze sales data and communicate findings aimed at executive stakeholders involving revenue, profitability, conversion funnels, cohort retention, churn, LTV, CAC, customer behavior, and operational performance.

E-Commerce Funnel and Cohort Analysis

What I've accomplished

Converted raw e-commerce event and transaction logs into business metrics to evaluate customer acquisition, conversion, retention, and purchasing behavior. Built a conversion funnel to measure progression from product views to purchases and created acquisition cohorts based on customers' first purchase month.

Outcome

Calculated monthly retention rates, churn-related metrics, customer lifetime value, CAC, revenue, profitability, and ROI to support marketing and product decisions and support profitable business decision-making.

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Returns Analysis and Root Cause Report

Designed a Tableau dashboard and story for executive stakeholders, presenting root causes of returns and recommendations for reducing return volume.

TableauData VisualizationData StorytellingProduct RoadmappingFinancial AnalysisKPI TrackingProduct AnalyticsQuantitative & Qualitative Analysis

Overview

Designed a Tableau dashboard and story for executive stakeholders, presenting root causes of returns and recommendations for reducing return volume.

Returns Analysis and Root Cause Report

What I've accomplished

Analyzed product, customer, geographic, and operational return patterns to identify factors contributing to elevated return rates. Created calculated fields, filters, parameters, maps, and interactive visualizations to compare return rates across categories, customers, regions, and shipping methods.

Outcome

● Designed and deployed interactive, dynamic Tableau dashboards, utilizing strategic metric hierarchies and data filters to turn raw corporate data into actionable business insights.

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Shopify App Performance Analysis

Analyzed publicly sourced Shopify app data to evaluate factors associated with app performance, customer ratings, review activity, and developer engagement.

Power BIDAXKPI TrackingDashboard DesignData ScrapingE-commerceBusiness IntelligenceInteractive VisualizationPresentation Skills

Overview

Analyzed publicly sourced Shopify app data to evaluate factors associated with app performance, customer ratings, review activity, and developer engagement.

Shopify App Performance Analysis

What I've accomplished

Built calculated columns and measures with DAX to assess review helpfulness, developer response behavior, and app-level performance indicators. Developed a multi-page Power BI report with KPI cards, trend visualizations, and comparative analyses to communicate key findings.

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