Ethan Johnson
@ethanjohnson1
Data analyst skilled in SQL, Python, and Power BI who turns data into actionable business insights.
What I'm looking for
I am a data analyst with strong academic performance and hands-on experience in SQL, Python, Power BI, and Excel, focused on transforming raw data into actionable insights. I have built end-to-end analyses — from data cleaning and feature engineering to visualization — to support marketing, product, and sponsorship decisions.
My projects include endorsement-targeting analysis for NBA athletes, multi-year bike-share behavior studies, and a secure hospital appointment system; I also founded and ran an ecommerce clothing brand where I applied analytics to drive customer acquisition and conversion improvements.
Experience
Work history, roles, and key accomplishments
Founder & Owner
Yeden
Dec 2021 - Present (4 years 2 months)
Founded and managed a direct-to-consumer clothing brand, increasing customer engagement 60% through targeted social media campaigns and driving a peak of 718 monthly store sessions while maintaining a 3% conversion rate.
Systems Developer (Project)
Hospital Appointment System
Apr 2023 - May 2023 (1 month)
Led development and testing of a secure hospital appointment system using SQL and MS Visio, designing ER models and data flows and ensuring reliable handling of patient and appointment data.
Data Analyst (Project)
NBA Athlete Endorsement Analysis
Feb 2026 - Present (0 months)
Built a data-driven endorsement scoring model using SQL and Python to rank NBA athletes by endorsement upside and delivered multi-page Power BI dashboards to inform targeting and brand opportunities.
Data Analyst (Case Study)
Cyclistic Bike Share Analysis
Jan 2026 - Present (1 month)
Analyzed multi-year bike-share data with SQL and Power BI to compare casual vs. member usage, uncovering behavioral differences to inform membership conversion and targeted marketing strategies.
Education
Degrees, certifications, and relevant coursework
California State University, Fullerton
Bachelor of Science, Information Systems and Decision Sciences
2019 - 2023
Grade: 3.83 GPA, magna cum laude
Activities and societies: Dean's List (2019-2023); member of Delta Sigma Pi (marketing, scholarship, recruitment, interchapter, finance, social committees).
Graduated magna cum laude with a cumulative GPA of 3.83 while completing coursework in information systems and decision sciences and making the Dean's List.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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