Business analyst

Jonah Jutzi

I build analytics projects that turn messy business, audience, and behavior data into models, dashboards, and decisions people can use.

Projects About Skills & Tools Contact

Projects

01 / 05 Spotify Statistics

Streamlit dashboard

Spotify Statistics

Streamlit dashboard that analyzes Spotify Extended Streaming History exports and creates personalized listening analytics.

Python
Streamlit
Pandas
Plotly

Repo Live

Streamlit dashboard

Brand Sentiment

Dashboard that collects public news mentions, scores sentiment with VADER, and visualizes brand reputation trends.

Python
Streamlit
VADER
News data

Repo Live

Python + Tableau

Census & Income

ACS/IPUMS project that cleans survey microdata, engineers features, trains income bracket models, and exports Tableau-ready dashboard data.

Python
Pandas
Scikit-learn
Tableau

Repo Dashboard

Tableau + Azure SQL

NBA Attendance

Team-branded BI dashboard for NBA business operations: attendance trends, opponent impact, win-loss records, team logos, and a self-updating Azure SQL workflow.

Tableau
Azure SQL
Power Automate
Sports BI

Repo Dashboard

Site Landing Page

Host Raspberry Pi 5

Access Cloudflare Tunnel

Self-hosted site

Pi Site

This portfolio is served from a Raspberry Pi 5 through Cloudflare Tunnel, with routes like /spotifystatistics and /brandsentiment proxying to Streamlit apps running on the Pi.

Raspberry Pi
Linux
Cloudflare
SQLite

Live

Resume snapshot

About Me

I am a business analytics professional with a Master of Science in Business Analytics from the University of Washington and a Bachelor of Science in Marketing from Oregon State University. My recent work with the Seattle Seahawks focused on predictive modeling, Tableau reporting, and fan engagement analysis to support season ticket renewal, waitlist conversion, and long-term audience strategy. I build models, dashboards, and research-backed analyses that turn customer, marketing, and operational data into clear recommendations for growth, retention, and engagement.

MSBA University of Washington

BI Tableau, Power BI, Streamlit

Modeling R, Python, regression, text mining

Recent experience

Professional Consultant, Seattle Seahawks

Collaborated with analytics and marketing stakeholders to analyze fan behavior, build predictive models in R, and develop Tableau reporting for season ticket renewal, waitlist conversion, and long-term engagement strategy.

Seattle Seahawks fan conversion analytics poster

Project Showcase

Recent experience

Market Research Intern, OSU Center for Marketing and Consumer Insights

Cleaned and analyzed survey datasets with Excel and Qualtrics, supported representative sampling, and summarized insights for research conclusions and recommendations.

CMCI Website

Education

University of Washington

Master of Science in Business Analytics, completing coursework in predictive analytics, business intelligence, text mining, artificial intelligence, analytical decision making, and applied regression.

Education