Data Analyst

STAN is the largest provider of AI solutions for HOA and Condo Property Managers. Were using cutting-edge patented AI technology to build solutions that enhance life for residents of more than 2.5 million homes across North America and were on a mission to build the worlds first AI property manager. Want to come along for the ride

Weve been recognized by Rogers FedEx George Brown College StartUp Canada the Waterloo Accelerator Centre and more and were just getting started. Learn more at (.)ai

The Role

Were hiring a Data Analyst / Data Strategist to turn our customer data into decisions. Thousands of HOA and condo communities run on STAN every day residents asking questions managers handling requests our AI answering conversations around the clock. That data tells us what customers love what theyre missing and where we can help them do more.

Youll dig into how property management companies actually use STAN find the features and workflows they arent using yet and work with Customer Success Product and Sales to close those gaps. Youll also own the health of our data itself making it cleaner more consistent and easier for the whole company to trust and use.

Understand how customers use STAN

Analyze product usage across our customer base to see which features each management company and community uses how often and how that changes over time

Build customer health and adoption scores that help Customer Success spot accounts at risk and accounts ready to grow

Identify features and workflows customers are paying for but not using and recommend how to drive adoption

Learn from customer conversations

Analyze resident and manager conversations with STANs AI to find common questions trends gaps in answers and opportunities to improve

Turn conversation data into clear insights for Product and Engineering what to build fix or train our AI on next

Surface patterns by community type region and property management software to help us tailor the product

Improve our data

Audit the quality of customer data across our platform and integrations and fix gaps duplicates and inconsistencies

Define clear metrics data standards and documentation so everyone at STAN works from the same numbers

Partner with Engineering to improve how we collect structure and store data

Shape our data strategy

Build dashboards and reports for leadership Customer Success Sales and Product

Create customer-facing insights and reports that show property managers the value STAN delivers to their communities

Help set STANs long-term data strategy as we grow including how we use data to improve our AI

36 years of experience in data analytics product analytics business intelligence or data strategy ideally at a B2B SaaS company

Strong SQL skills and hands-on experience with Python or R for analysis

Experience building dashboards in tools such as Looker Tableau Power BI Metabase or similar

A track record of analyzing product usage or customer data and turning it into recommendations that changed how a team worked

Experience cleaning and structuring messy data from multiple sources

Comfort working with unstructured text data such as support tickets chat logs or conversations

Clear communication: you can explain findings simply to non-technical teams and leadership

Self-starter mindset suited to a fast-paced startup where youll build processes from scratch

Nice to Have

Experience in PropTech property management real estate or HOA/condo software

Experience analyzing conversational AI chatbot or call center data or using NLP / LLM tools to classify text

Experience with product analytics tools such as Mixpanel Amplitude or PostHog

Familiarity with modern data stacks (e.g. dbt Snowflake BigQuery)

Experience in a customer-facing analytics role or partnering closely with Customer Success

Experience setting up data governance or data quality programs

We offer a salary of CAD per year.

• Opportunity to sell world-class patented AI technology.

• Comprehensive health dental and specialist benefits.

• Company Macbook.

• Free parking and shuttle service to the office.

• Extra PTO during occasional US holidays.

• Company events in-office restaurant and building-wide perks.

• Unlimited ping pong and espresso!

If youre a closer who is passionate about AI and ready to disrupt a massive industry we want to talk to you!