
Justin Haugbro
@justinhaugbro
I build AI-ready BI systems that turn customer data into revenue decisions.
What I'm looking for
At WGSN, I built the Business Intelligence function from one inherited analyst into a cross-regional team serving a 700-person B2B SaaS business across five regions. I partner with senior leadership as a board-facing analytics resource, translating subscription, customer, and product data into decisions.
I defined and delivered WGSN's AI analytics roadmap, from warehouse standardization and semantic-layer design to a Claude-powered self-service insight system used by five departments. The system reduced speed-to-insight from weeks to hours and saves users up to 20 hours per week.
I also lead predictive analytics, including a production BigQuery ML churn model and renewal forecasting, helping protect approximately $1.5M in monthly recurring revenue. Across BigQuery, Looker, and DBT, I've improved query performance by 70%, consolidated roughly 300 reports into 30 governed dashboards, and built trusted metrics for retention, churn, NRR, upsell, and LTV.
Experience
Work history, roles, and key accomplishments
Built the BI function from the ground up, scaling from a single analyst to a cross-regional team of three. Defined and delivered the AI analytics roadmap, integrating Claude for self-serve insights and deploying predictive models that protected approximately $1.5M in monthly recurring revenue.
Education
Degrees, certifications, and relevant coursework
Fashion Institute of Technology, SUNY
Bachelor of Science, Fashion Business Management
Activities and societies: Dean's List
Bachelor of Science in Fashion Business Management with a specialization in Product Development. Graduated with Dean's List honors.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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