Data Analyst - Product & Business Analytics

Stay22; Montreal (administrative region); On-site; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Cafeteria allowance

Gym access

Rooftop terrace

Basketball/pickleball court & hockey

Health & dental insurance

RRSP matching

Public transit pass

Flexible schedules

Work-from-anywhere opportunities

Job summary

Stay22, headquartered in Montreal, is hiring a Data Analyst for Product & Business Analytics. You will work across three squads (Hub, Integrations, Social) to turn product and business questions into reliable analyses and actionable insights.

You will validate data quality, run experiments, and produce dashboards and reports that empower cross-functional teams to make data-driven decisions.

Qualifications

• 5+ years of experience in data analytics, product analytics, business intelligence or related field.
• Strong SQL skills with end-to-end analysis ownership.
• Experience with BI/visualization tools (Sigma/Looker/Tableau/Power BI).
• Python experience for data cleaning, exploration, automation, or large datasets.
• Solid understanding of statistics, funnel/cohort analysis, experimentation and A/B testing.
• Strong data-quality judgment and ability to identify anomalies across sources.
• Clear communication to translate complex analysis into practical recommendations.
• Curiosity, autonomy and comfort with ambiguity and AI-assisted analysis when used.

Responsibilities

• Partner with Product Managers and engineers to support product and business initiatives through data.
• Turn questions into hypotheses, success metrics and analysis plans.
• Validate experiments and analyze KPI results for insights.
• Deliver end-to-end analyses for Hub, Social and Integrations using funnels, cohorts and retention.
• Build, maintain and improve dashboards and recurring reports.
• Validate data definitions, duplicates, missing events and source differences.
• Present findings clearly to technical and non-technical stakeholders.
• Help teams become self-sufficient with clear definitions and reusable analyses.
• Collaborate with Data Engineering to improve data quality and workflows.

Skills

SQL

Python

Funnels

Cohorts

Experimentation

Dashboards

Data quality

Communication

Tools

Sigma

Looker

Tableau

Power BI

Job description

Data Analyst - Product & Business Analytics

Montreal HQ

About Stay22

Based in Montreal, Stay22 helps ambitious creators and intent-rich digital platforms turn their existing traffic into incremental revenue, with technology that works quietly in the background.

Today, more than 6,500 creators and platforms rely on Stay22, with over $1 billion in annual transactions flowing through the platform. Originally built for travel, the company now supports partners across retail, lifestyle, publishing, events, and transport as it expands its monetization infrastructure for the modern creator economy.

Position overview

Every creator and platform that works with Stay22 relies on clear, trustworthy data to understand whether their content and traffic are creating value. In this role, you will help make that picture reliable. You will join a small but high-impact Data & Analytics team and work across three squads: Hub, where partners sign up, manage their accounts and track performance; Integrations, which connects supplier and partner data; and Social, which helps creators turn social content into revenue opportunities.

This is a true analytics role, not a position limited to dashboard production. You will turn ambiguous product and business questions into analysis and recommendations, validate data quality and limitations, and help teams make better decisions. You will use SQL, Python, funnels, cohorts, experimentation and dashboards, while bringing curiosity, asking thoughtful questions and owning problems from the first question through to the next step.

Key responsibilities

• Partner with Product Managers, engineers and cross-functional stakeholders to support product and business initiatives through data.
• Turn unclear questions into clear hypotheses, success metrics and analysis plans.
• Support product experiments and A/B tests by validating setup, defining KPIs and analyzing results.
• Deliver end-to-end analysis for Hub, Social and Integrations, using funnels, cohorts, segmentation, retention and other practical methods.
• Build, maintain and improve dashboards, recurring reports and trusted metrics.
• Validate data quality by checking definitions, duplicates, missing events, freshness and differences between sources.
• Present findings, limitations and recommendations clearly to technical and non-technical stakeholders.
• Help teams become more self-sufficient in using data and interpreting results through documentation, clear definitions and reusable analysis.
• Partner with Data Engineering to improve data quality and analytical workflows without owning ETL architecture or infrastructure.

Requirements

• At least 5 years of experience in data analytics, product analytics, business intelligence, growth analytics, strategy, insights or a related field.
• Strong SQL skills and experience owning analyses from clarifying the question through validation, interpretation and recommendation.
• Experience with BI or visualization tools such as Sigma, Looker, Tableau, Power BI or a comparable platform.
• Practical Python experience for data cleaning, exploration, automation, prototyping or working with larger datasets.
• A solid understanding of statistics, metric definition, funnel analysis, cohort analysis, experimentation and A/B testing.
• Strong data-quality judgment, including the ability to identify anomalies, missing events, duplicates, inconsistent definitions and limitations across sources.
• Clear communication skills and the ability to turn complex analysis into practical recommendations for both technical and non-technical stakeholders.
• Curiosity, autonomy and comfort asking questions, working through ambiguity, adapting to changing priorities and validating AI-assisted analysis when used.

What to expect during our hiring process

We know your time is valuable, here is a quick look at the next steps:

• Call with our Talent Acquisition Advisor (30 min).
• Interview with the hiring manager (45 min).
• Technical interview and live case with members of the Data team and a Product partner (60 min).
• Final interview with our CEO (30 min).
• Offer and onboarding

Note: this process may evolve based on the team's needs.

• Prime Montreal Location: Work from our vibrant Little Italy HQ with a cafeteria allowance, full gym access, and a rooftop terrace complete with a seasonal basketball/pickleball court & hockey rink.
• Comprehensive Benefits: Health & dental coverage, RRSP matching, fully paid STM pass', and regular team socials, events, and retreats.
• Flexibility That Works: Flexible schedules, work-from-anywhere opportunities, year-end shutdown, and flex days.

(Stay22 is an equal-opportunity employer. All qualified applicants are given consideration. If you have a disability or particular need that requires accommodation, please contact us at [e-mail])