Rebecca Josephine Garcia
Austin,TX
Summary
Proactive senior data analyst with 8 years of experience in analytics and data science within the financial services and tech industries. Skilled in revenue-focused environments, detail-oriented, and thrive as a team player with strong organizational skills. Highly collaborative and curious, with a proven track record of improving business operations to support corporate growth and drive revenue.
Overview
8
8
years of professional experience
Work History
Sr. Data Analyst
Realtor.com
03.2021 - Current
- Lead analyst for a high-visibility Agent Population Management (APM) initiative within the Referral product resulting in an increase of projected revenue and revenue-driving KPI's. This included presenting analyses explaining unexpected market behaviors to inform the strategy of each phased approach, collaborating with the Machine Learning Engineering team to further improve the dispatch matcher models, and implementing post-launch projects to advance partnerships with individual high-value brokers
- Conducted comprehensive strategic analysis for the Referral product. This included identifying process and operational enhancements through deep-dive analytics, resulting in cost-saving opportunities for call center operations and lead pool management
- Productionalized data tables using DBT and Airflow for cross-functional team use and dashboard development
- Automated ad-hoc data pulls and recurring reporting using Tableau and Snowsight dashboards.
- Developed predictive models to identify behaviors impacting key organizational metrics within our call center
- Onboarded and trained two junior analysts including getting their data environments and tools set up, mentoring them on data and best practices, guiding them through initial analyses, and teaching them about our business model
Data Insights Analyst
Dropbox
10.2019 - 01.2021
- Developed predictive models in Python to help the business understand what drives the way a customer scores their Support experience to provide insights and strategies into areas of improvement that would increase the main scorecard Global Support metric
- Trended weekly movements and deep-dives for the main CX Global Support metrics and presented findings on a weekly basis to leads and the Director of the organization
- Prepared and presented the Monthly Business Review for the Global Support Director which summarized monthly trends, impacts, and highlights within the organization
- Analyst lead on the Dropbox Chatbot project which involved developing Chatbot metrics, recommendations on improvements in the Chatbot, and ad-hoc analyses to aid the business in better understanding the accuracy of the Chatbot
- Partnered with stakeholders to provide high-level metrics for new projects and roll-outs in existing projects
- Utilized A/B testing for an automated refund tool to determine the ideal location to surface the tool to Dropbox users and gauge the level of Support ticket deflection from live agent to the tool
Decision Science Analyst
USAA
07.2017 - 10.2019
- Developed a predictive model using XGBoost in Python to predict the potential revenue of newly acquired Bank Credit Card members which required manipulating, transforming, and analyzing large data sets
- Mentored a fellow analyst on the modeling process using Python and Jupyter Notebook
- Championed Git and trained peers on how to use Git to publish, document, and share code
- Garnered insight for Bank Credit Card project managers that determined the timeline for member stabilization in spend and revolve behavior
- Worked with consultant partners to provide Bank regulatory requests to ensure compliance within Bank practices
- Provided statistical analyses to business partners and experience owners studying the spend and revolve behavior for Bank Credit Card members
Business Operations Analyst
USAA
08.2016 - 07.2017
- Provided a business case for using NLP for understanding large amounts of member feedback previously being read through manually to gather topics resulting in common use of Topic Modeling for member feedback thereafter
- Presented the current state of Topic Modeling at USAA Bank to Bank President, Vice President, Executives, and Directors
- Pioneered using Python as a main analytical tool in Bank Business Intelligence Analytics (BBIA)
- Mentored fellow analysts on Topic Modeling in Python
- Developed a Tableau dashboard that streamlined the use of many data sources into one report to monitor possible fraud occurrences which improved efficiency of the previous reporting method
Education
M.A - Economics-Business Data Analysis & Forecasting
University of Texas At San Antonio
San Antonio, TXB.B.A - Economics
University of Texas at San Antonio
San Antonio, TXSkills
- SQL
- Python
- Tableau
- Snowflake
- Git
- DBT
- Airflow
- Advanced analytics
- Predictive analysis
Timeline
Sr. Data Analyst
Realtor.com
03.2021 - Current
Data Insights Analyst
Dropbox
10.2019 - 01.2021
Decision Science Analyst
USAA
07.2017 - 10.2019
Business Operations Analyst
USAA
08.2016 - 07.2017
B.B.A - Economics
University of Texas at San Antonio
M.A - Economics-Business Data Analysis & Forecasting
University of Texas At San Antonio
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