Product Analyst

STAN AI•Toronto, IA

9d•CA$81,000 - CA$110,000

About The Position

STAN is hiring a Product Analyst to use customer and product data to inform decisions and improve adoption of its AI solutions for HOA and condo property managers. The role analyzes how management companies and communities use STAN, identifies underused features and workflows, and partners with Customer Success, Product, and Sales to address adoption gaps. The analyst also owns data quality, making information cleaner, more consistent, and easier for the company to trust and use. The position includes analyzing resident and manager conversations with STAN’s AI, translating findings into recommendations for Product and Engineering, building customer health and adoption scores, and creating dashboards and reports for internal teams and property managers. The analyst will help define metrics and data standards, collaborate with Engineering on data collection and storage, and contribute to STAN’s long-term data strategy as the company grows.

Requirements

3–6 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 using Looker, Tableau, Power BI, Metabase, or similar tools.
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 skills, including explaining findings simply to non-technical teams and leadership.
Self-starter mindset suited to a fast-paced startup where processes will be built from scratch.

Nice To Haves

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 such as dbt, Snowflake, or BigQuery.
Experience in a customer-facing analytics role or partnering closely with Customer Success.
Experience setting up data governance or data quality programs.

Responsibilities

Analyze product usage across customers, management companies, and communities, including feature use, frequency, and changes over time.
Build customer health and adoption scores to help Customer Success identify at-risk accounts and opportunities for growth.
Identify paid features and workflows that customers are not using and recommend ways to increase adoption.
Analyze resident and manager conversations with STAN’s AI to identify common questions, trends, response gaps, and improvement opportunities.
Translate conversation data into insights for Product and Engineering on what to build, fix, or train the AI on.
Identify patterns by community type, region, and property management software to inform product tailoring.
Audit customer data across the platform and integrations and address gaps, duplicates, and inconsistencies.
Define metrics, data standards, and documentation so teams use consistent information.
Partner with Engineering to improve data collection, structure, and storage.
Build dashboards and reports for leadership, Customer Success, Sales, and Product.
Create customer-facing insights and reports that demonstrate the value STAN delivers to communities.
Help develop STAN’s long-term data strategy, including how data can improve its AI.