**Hard Skills:**

- SQL & NoSQL databases (PostgreSQL, MongoDB)

- Data visualization (Tableau, Power BI, Looker)

- Python (Pandas, NumPy, Scikit-learn)

- R & Statistical Analysis

- ETL Processes & Data Warehousing (Fivetran, Snowflake)

- Predictive modeling & segmentation

- A/B Testing & Experimental Design

**Soft Skills:**

- Critical Thinking & Problem Solving

- Effective Communication & Storytelling

- Cross-functional Collaboration

- Agile Methodologies

- Adaptability in Fast-Paced Environments

*Senior Data Analyst*

**CloudSync SaaS Solutions** — San Francisco, CA

June 2022 – Present

- Developed adaptive dashboards in Tableau and Looker that reduced customer onboarding time by 20% through real-time performance metrics.

- Led a cross-functional team to implement a customer churn prediction model using Python, increasing retention insights accuracy by 30%.

- Automized data pipelines for usage analytics, resulting in a 40% reduction in reporting turnaround time.

- Conducted user segmentation analyses that informed personalized marketing strategies, boosting upsell revenue by 15%.

*Data Analyst*

**NextGen SaaS Inc.** — Boston, MA

August 2018 – May 2022

- Crafted SQL queries to retrieve and analyze usage data, supporting the development of new feature rollouts that increased active user base by 25%.

- Built dashboards in Power BI that visualized key KPIs, significantly improving the executive team's decision-making speed.

- Partnered with product managers to run A/B tests and interpret results, enabling the deployment of two new features that improved customer satisfaction scores.

- Maintained data quality standards and performed regular audits to ensure compliance with GDPR and CCPA regulations.

*Junior Data Analyst*

**Innova SaaS** — Austin, TX

June 2016 – July 2018

- Supported data extraction and cleansing processes for diverse SaaS projects, ensuring accuracy in multi-source data integration.

- Assisted in creating weekly KPI reports for clients, leading to proactive client engagement and retention strategies.

- Developed basic predictive models in R, providing early insights into user churn triggers to senior analysts.

**Bachelor of Science in Data Science**

University of Texas at Austin — Austin, TX

*2012 – 2016*

- Certified Analytics Professional (CAP) — 2021

- Tableau Desktop Specialist — 2020

- Machine Learning Certification — Coursera (Stanford Online) — 2022

SaaS Customer Engagement Dashboard

Built a dynamic, automated Tableau dashboard integrating usage metrics, customer support tickets, and NPS scores, which reduced weekly reporting time by three hours and improved data accessibility for sales and customer success teams.

Predictive Churn Model

Led the development of a machine learning model using Python to identify at-risk customers based on behavioral data, resulting in targeted retention campaigns that decreased churn rate by 8% over six months.

- SQL, Python, R

- Tableau, Power BI, Looker

- Snowflake, BigQuery, Redshift

- Fivetran, Stitch

- Git, JIRA, Slack

English (Native), Spanish (Professional Working Proficiency)