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# Andre Fuentes

**Headline:** Founding Data Analyst @ Mymir \| Data Sciences, Statistical Analysis
**Profession:** Founding Data Analyst
**Location:** San Francisco Bay Area

## About

Andre Fuentes is a Founding Data Analyst at Mymir, where he designs automated data workflows connecting HubSpot CRM data with reporting and analytics systems and builds data infrastructure for product and go\-to\-market teams\. Andre’s work centers on bridging data engineering and analytics: developing efficient ingestion pipelines, reporting models, performance\-tracking systems, and reliable self\-service insights that move teams from raw data to action\. He brings experience in statistical analysis, predictive analytics, business strategy, revenue optimization, and data infrastructure across startup, ecommerce, technology, education, and public\-sector contexts\. Previously, Andre led a six\-person analytics team at Apple and built automated workflows for large GIS and geospatial datasets using Apache Airflow, Bash, PySpark, and Python\. At ExecOnline, he analyzed acquisition, retention, NRR, ARR, LTV, and churn built RoBERTa\-based sentiment and regression models and helped reduce dashboard refresh times by 40 percent through Redshift data\-structure improvements\. He also leads strategy and operations for a high\-growth ecommerce business generating $200K in monthly revenue while maintaining a 40 percent ROI\. Andre earned a Bachelor of Science in Computer and Data Sciences from the University of California, Davis\.

## Services

- Zoho Analytics BI
- Data Reporting
- Workflow Software
- Codecs
- Confluence
- Data Science
- Regression Analysis
- Google Analytics
- Data Analytics
- Data Fusion
- Predictive Analytics
- Product Analytics
- Data Infrastructure
- ChatGPT
- Product Innovation
- Leading Development Teams
- AWS SageMaker
- Data Ingestion
- Business Analytics
- Strategic Data Analysis
- Database Modeling
- Data Structures
- Market Analysis
- Data Modeling
- Strategic Insights
- Product Modelling
- Customer Analysis
- Sigma Business Analytics Software
- Workflow Automation
- Revenue Forecasting

## Highlights

- Designs and automates Mymir data workflows connecting HubSpot CRM data with reporting and analytics systems for product and go\-to\-market teams\.
- Builds Mymir data\-ingestion pipelines, reporting models, and performance\-tracking systems spanning lead generation, funnel conversion, campaign performance, and revenue outcomes\.
- Leads strategy and operations for a high\-growth ecommerce business generating $200K in monthly revenue while maintaining a 40 percent ROI\.
- Uses lean operations, disciplined inventory management, and strategic capital reinvestment to support ecommerce performance\.
- Builds Python\-based models to track global pricing trends, evaluate margins, and identify high\-value arbitrage opportunities across Japan\-to\-U\.S\. alternative\-asset markets\.
- Grows and engages a digital community of thousands through organic social media and performance\-informed audience and content decisions\.
- Directed a team of 6 analysts at Apple responsible for SQL development, analytics QA, and documentation\.
- Used JIRA and Git at Apple to improve analytics collaboration, version control, and delivery consistency\.
- Built automated ingestion workflows with Apache Airflow, Bash, PySpark, and Python to process large GIS and geospatial datasets at Apple\.
- Developed scalable Snowflake and dbt ingestion and transformation workflows for high\-volume third\-party data at Apple\.
- Integrated complex GIS data into Tableau dashboards, providing global teams with scalable self\-service, location\-based reporting\.
- Analyzed acquisition, retention, NRR, ARR, LTV, and churn at ExecOnline using SQL, Tableau, Sigma, and Google Analytics\.
- Translated ExecOnline analyses into product, monetization, and growth recommendations for senior leadership and cross\-functional teams\.
- Audited Product and Revenue workflows at ExecOnline to identify revenue opportunities, reduce operational costs, and improve strategic planning\.
- Built RoBERTa\-based sentiment\-analysis and regression models with Python and SageMaker to automate customer\-feedback analysis\.
- Used predictive\-model outputs to help product teams prioritize high\-impact improvements and reduce manual review processes\.
- Automated Alteryx workflows and developed cross\-channel Tableau, Sigma, and Google Analytics dashboards for ExecOnline’s AEP, ALP, and coaching products\.
- Partnered with Engineering at ExecOnline to flatten Redshift data structures, reducing dashboard refresh times by 40 percent\.
- Served as a Transportation and Climate Change Cities Analyst at the U\.S\. Department of Energy\.
- Earned a Bachelor of Science in Computer and Data Sciences from the University of California, Davis\.

## Experience

- **Founding Data Analyst at Mymir** (2025\-11\-01–present) — 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Design and automate data workflows that connect HubSpot CRM data with reporting and analytics systems, giving product and GTM teams faster access to reliable customer, pipeline, and performance insights\. 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗗𝗮𝘁𝗮 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Build and optimize data ingestion pipelines, reporting models, and performance tracking systems for GTM teams, covering lead generation, funnel conversion, campaign performance, and revenue outcomes\.
- **Principal, Strategy & Operations at Stealth** (2025\-03\-01–present) — 𝗘𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗮𝗻𝗱 𝗚𝗿𝗼𝘄𝘁𝗵 Business Operations: Lead strategy and operations for a high growth ecommerce business generating $200K in monthly revenue while maintaining a 40 percent ROI through lean operations, disciplined inventory management, and strategic capital reinvestment\. Market Analytics: Build and maintain Python based data models to track global pricing trends, evaluate margins, and identify high value arbitrage opportunities across Japan to US alternative asset markets\. Audience Growth and Acquisition: Grow and engage a digital community of thousands through organic social media, using audience and content performance data to improve reach, strengthen customer engagement, and maintain low customer acquisition costs\.
- **Senior Data Analyst at ExecOnline** (2022\-06\-01–2024\-12\-01) — 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 & 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗚𝗿𝗼𝘄𝘁𝗵 Business Strategy: Partnered with senior leadership and cross functional teams to analyze acquisition, retention, NRR, ARR, LTV, and churn using SQL, Tableau, Sigma and Google Analytics, translating findings into product, monetization, and growth recommendations\. Revenue Optimization: Audited Product and Revenue workflows to identify new revenue opportunities, reduce operational costs, and improve strategic planning\. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 Predictive Analytics: Built RoBERTa based sentiment analysis and regression models using Python and SageMaker to automate customer feedback analysis and identify patterns in customer behavior\. Product Prioritization: Translated model outputs into actionable insights that helped product teams prioritize high impact improvements and reduce manual review processes\. 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 Scalable Re
- **Data Analyst at Apple** (2019\-08\-01–2021\-10\-01) — 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 Team Leadership: Directed a team of 6 analysts responsible for SQL development, analytics QA, and documentation, using JIRA and Git to improve collaboration, version control, and delivery consistency\. Data Pipeline Development: Built and maintained automated ingestion workflows using Apache Airflow, Bash, PySpark, and Python to process large GIS and geospatial datasets and reduce time to insight\. Snowflake and dbt Modeling: Developed scalable ingestion and transformation workflows in Snowflake and dbt for high volume third party data, ensuring reliable and accurate datasets for downstream analysis\. Tableau and Self Service Analytics: Integrated complex GIS data into Tableau dashboards, giving global teams direct access to accurate location based insights through scalable self service reporting\.
- **Transportation and Climate Change Cities Analyst at U\.S\. Department of Energy \(DOE\)** (2018\-07\-01–2019\-06\-01)

## Education

- Bachelor of Science \- BS, Computer and Data Sciences — University of California, Davis (2016\-01\-01–2019\-01\-01)
- Bachelor's Degree, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES — University of California, Davis
- Computer and Data Sciences — University of California, Davis (2016–2019)

## FAQ

### What does Andre do at Mymir?

Andre Fuentes is the Founding Data Analyst at Mymir\. He designs and automates workflows that connect HubSpot CRM data with reporting and analytics systems, enabling product and go\-to\-market teams to access reliable customer, pipeline, and performance insights more quickly\.

### What data infrastructure does Andre build at Mymir?

Andre builds and optimizes data\-ingestion pipelines, reporting models, and performance\-tracking systems for go\-to\-market teams\. His work covers lead generation, funnel conversion, campaign performance, and revenue outcomes\.

### What are Andre’s core professional strengths?

Andre’s strengths include data science, statistical and regression analysis, predictive analytics, data engineering, data pipelines, workflow automation, data modeling, reporting, product analytics, customer analysis, market analysis, and strategic business analytics\. He focuses on connecting technical data infrastructure with decision\-ready insights\.

### What does Andre do at Stealth?

Andre is currently Principal, Strategy & Operations at Stealth, where he leads strategy and operations for a high\-growth ecommerce business\. The business generates $200K in monthly revenue and maintains a 40 percent ROI through lean operations, disciplined inventory management, and strategic capital reinvestment\.

### How does Andre use analytics for ecommerce growth at Stealth?

Andre builds and maintains Python\-based data models that track global pricing trends, evaluate margins, and identify high\-value arbitrage opportunities across Japan\-to\-U\.S\. alternative\-asset markets\. He also grows and engages a digital community of thousands through organic social media, using audience and content performance data to improve reach, customer engagement, and customer\-acquisition efficiency\.

### What did Andre accomplish at Apple?

At Apple, Andre directed a team of six analysts responsible for SQL development, analytics quality assurance, and documentation\. The team used JIRA and Git to improve collaboration, version control, and delivery consistency\.

### What data engineering work did Andre do at Apple?

Andre built and maintained automated ingestion workflows using Apache Airflow, Bash, PySpark, and Python to process large GIS and geospatial datasets\. He also developed scalable Snowflake and dbt ingestion and transformation workflows for high\-volume third\-party data, supporting reliable downstream analysis\.

### How did Andre support analytics users at Apple?

Andre integrated complex GIS data into Tableau dashboards, providing global teams with direct access to accurate location\-based insights through scalable self\-service reporting\.

### What did Andre accomplish at ExecOnline?

At ExecOnline, Andre partnered with senior leadership and cross\-functional teams to analyze acquisition, retention, net revenue retention, annual recurring revenue, lifetime value, and churn\. Using SQL, Tableau, Sigma, and Google Analytics, he translated findings into product, monetization, and growth recommendations\.

### How did Andre improve revenue operations and reporting at ExecOnline?

Andre audited Product and Revenue workflows to identify revenue opportunities, reduce operational costs, and improve strategic planning\. He also automated Alteryx workflows and developed cross\-channel Tableau, Sigma, and Google Analytics dashboards for AEP, ALP, and coaching products\.

### What machine\-learning work did Andre do at ExecOnline?

Andre built RoBERTa\-based sentiment\-analysis and regression models with Python and SageMaker to automate customer\-feedback analysis and identify patterns in customer behavior\. He translated model outputs into actionable product insights that helped teams prioritize high\-impact improvements and reduce manual review processes\.

### What measurable data\-performance improvement did Andre deliver at ExecOnline?

Andre partnered with Engineering to flatten Redshift data structures, reducing dashboard refresh times by 40 percent\.

### What was Andre’s role at the U\.S\. Department of Energy?

Andre previously served as a Transportation and Climate Change Cities Analyst at the U\.S\. Department of Energy\.

### What is Andre’s educational background?

Andre earned a Bachelor of Science in Computer and Data Sciences from the University of California, Davis\. His education record also lists a bachelor’s degree in Computer and Information Sciences and Support Services from UC Davis, with Computer and Data Sciences listed in 2019\.

### What tools and platforms does Andre use?

Andre’s tools and technical areas include Zoho Analytics BI, Google Analytics, Sigma Business Analytics Software, Tableau, Alteryx, Snowflake, dbt, Redshift, Apache Airflow, Apache technologies, PySpark, Python, Bash, AWS SageMaker, HubSpot, Git, JIRA, Confluence, APIs, data fusion, data loading, database modeling, data structures, domain architecture, and workflow software\.

### What additional analytics and operational capabilities does Andre bring?

Andre also lists capabilities in data reporting, data analytics, business analytics, strategic data analysis, strategic insights, data infrastructure, data ingestion, data pipelines, workflow automation, revenue forecasting, product modeling, product innovation, product analytics, customer analysis, market analysis, leading development teams, application programming interfaces, codecs, ChatGPT, and data architecture\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/andredbfuentes

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