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Added 9 mins ago
EI
Senior Financial Analyst
Ecolab Inc.
Calgary, AB
- Full-time
Reporting to the FP&A Manager, the successful candidate will combine strong analytical skills with business partnership to help drive company performance and continuous improvement.
Added 22 mins ago
WS
Project Financial Controller EPMO
Workplace Safety and Insurance Board (WSIB)
Toronto, ON
- Contract
Reporting to the Manager, Corporate Project Finance, the Project Financial Controller is responsible for portfolio financial reporting, budgeting, forecasting, analysis, and financial…
Added 22 mins ago
EE
Commercial Services Analyst
Emera Energy
Halifax, NS
- Full-time
…a permanent position. Reporting to the Commercial Services Manager, you will be responsible for providing data management and analytical support to Emera Energy’s Commercial Team. This role…
Added 22 mins ago
AF
Financial Planning and Analysis Manager
Armstrong Fluid Technology
Toronto, ON · Scarborough, ON
- $110,000 to $130,000 CAD / year
- Part-time
In this role, the FP&A Manager, Canada will support our fast-growing Canada sales organization, which is forecasted to grow by 20% next year. This highly visible role is responsible for…
Added 24 mins ago
Manager, Analytics & Process Innovation
MCAP
Toronto, ON
The role is responsible for identifying, designing, and implementing technology-driven solutions to improve Capital Markets processes, with a focus on process automation, quantitative…
Added 40 mins ago
CI
Autonomy Systems Engineering Specialist / Spécialiste en ingénierie des systèmes d’autonomie
Caterpillar Inc.
Laval, QC
- Full-time
Provide technical leadership and guide solution development under the direction of the Project Solution Owner and Engineering Manager.
Added 53 mins ago
IW
Business Systems Analyst & Developer - Data, AI & Agentic Automation
Innotech Windows + Doors
Langley (District), BC · Langley, BC
- Full-time
The Business Systems Analyst & Developer turns business needs into practical data, automation, and AI solutions, and builds them to production standards. The role combines business…
Added 55 mins ago
Senior Manager, Data Initiatives
Scotiabank
Toronto, ON
High-quality data is critical to Global Wealth Management & Insurance’s strategic objectives. As a Senior Manager, Data Initiatives, you are a senior member of a business-focused data…
Added 55 mins ago
E
Engineer in Training I
Enbridge
Edmonton, AB
- Full-time
Enbridge’s FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule, or…
Added 55 mins ago
Senior Manager, Program Controls, Data Center Construction
Bell
Regina, SK
…mission-critical data centre infrastructure. The Program Controls Manager will establish and maintain the governance processes that connect departments, projects, and stakeholders across…
Added 1 hour ago
A
Finance Transformation Senior Manager
Accenture
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
- Full-time
CFO & Enterprise Value, and we partner with Finance executives to drive value across the enterprise. As Finance leaders move into business partner roles, they need processes, technology and…
Added 1 hour ago
IG
Project Manager (Finance & Tax)
Infotree Global Solutions
Montreal, QC
- Contract
The Finance and Tax (F&T) Transformation and Continuous Project Manager will manage a portfolio of Finance and Tax process/tool optimization projects under the supervision of the local team…
Added 1 hour ago
Manager, Analytics and BI
Scotiabank
Toronto, ON
The Business Analytics Channels & Servicing Team partners with channel management and transformation stakeholders to deliver a comprehensive view of customer sales and service touchpoints…
Added 1 hour ago
Intraday Analyst - Moncton, NB - Tangerine (18-month contract)
Scotiabank
Moncton, NB
…operations running smoothly by monitoring staffing, call volumes and service levels in real time. Reporting directly to the Manager of Workforce, you will use detailed business and…
Added 2 hours ago
O
Senior Manager, Marketing Analytics
Optro
Remote, Canada
- $128,000 to $176,000 CAD / year
- Full-time
- Remote
Marketing at Optro is scaling fast, and we need a leader who can turn our marketing data into decisions the business actually acts on. As Senior Manager, Marketing Analytics, you will own…
Added 2 hours ago
DM
Manager, Project Controls
DMC Mining Services
Vaughan, ON
- Full-time
DMC Mining Services is seeking an experienced project controls leader to lead corporate project controls oversight and reporting across our portfolio of underground mining construction…
Added 2 hours ago
Manager, Supply Chain Contract Excellence
Celestica International LP
Toronto, ON
We are seeking a proactive and detail-oriented Manager, Supply Chain Contract Excellence to support process standardization, continuous improvement, and operational data execution across…
Added 2 hours ago
Technical Architect Contracts (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
Reporting to the Manager, IT Assets, Finance and Procurement, as the Technical Architect Contracts, you will be responsible to manage the financial viability and sustainability of our…
Added 2 hours ago
Performance & Delivery Manager - Industrial Operations
Alstom
Toronto, ON
Strong proficiency in Excel and PowerPoint; Power BI or similar analytics tools.
Added 3 hours ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Act as the finance lead for the Product Line, partnering closely with the General Manager and leadership team
Added 3 hours ago
Senior Data Developer
Stay22
Montreal, QC
The Data team at Stay22 transforms raw data into trusted insights that drive product and business decisions. As a Sr Analytics Developer, you will own the modelling and transformation layer…
Added 3 hours ago
TP
Manager, Commercial Intelligence
Toronto Pearson International Airport
Toronto, ON
- Full-time
Working closely with Commercial, Finance, IT, Data, and Analytics teams, the Manager translates business priorities into actionable data and intelligence solutions. The role integrates…
Added 3 hours ago
CP
Applications Administrator
Choice Properties
Toronto, ON
- Full-time
Reporting to the Senior Manager, Application Support, the Applications Administrator will be responsible for the maintenance and support of financial, real estate, and other business and…
Added 3 hours ago
BI
Software Development Manager
BrightOrder Inc.
Remote, Canada
- Full-time
- Remote
As a Software Manager, you will play a pivotal player-coach role, leading a team of talented developers in building and enhancing our EMDECS and emdecs one platforms. Reporting directly to…
Added 4 hours ago
GT
Manager, Commercial Intelligence
Greater Toronto Airports Authority
Toronto, ON
- Full-time
Working closely with Commercial, Finance, IT, Data, and Analytics teams, the Manager translates business priorities into actionable data and intelligence solutions. The role integrates…

Stay22

Senior Data Developer

Montreal, QC, Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English · French
Posted: Oct 9, 2026

Original job description

English section of this bilingual listing.

-Version française à suivre-

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

The Data team at Stay22 transforms raw data into trusted insights that drive product and business decisions. As a Sr Analytics Developer, you will own the modelling and transformation layer that turns warehouse data into reusable data products. Modelling is central to your work: defining entities, grain, relationships, facts, dimensions, and governed metrics that stakeholders can trust.

You will partner with Product, Development, Analytics, and Business teams to solve problems and uncover opportunities - from improving user experience and product performance to increasing conversion, partner revenue, and operational efficiency. You’ll translate these needs into semantic models, and self-serve datasets and tools that help teams decide and act fast.

This role combines advanced SQL and development practices with strong product and business acumen. You’ll use AI-assisted and agentic coding tools to accelerate delivery while retaining human accountability for quality, security, correctness, and business meaning.

Key responsibilities

Design, build, and evolve scalable analytical models and transformation workflows using SQL, dbt, Dagster and modern warehouse patterns.
Define model grain, entities, keys, join paths, facts, dimensions, snapshots, incremental strategies, and materializations that balance usability, performance, and cost.
Translate business concepts into reusable metrics, semantic definitions, and analytical datasets for BI, experimentation, product analytics, and AI-enabled workflows.
Partner with Product, Development, Revenue, Marketing, Operations, and Analytics to identify business problems and opportunities, including instrumentation, funnels, activation, engagement, conversion, retention, attribution, and revenue metrics.
Build and maintain reliable ELT and transformation workflows from internal and third-party sources, working closely with Data Development on ingestion and platform concerns.
Apply production development practices - including data quality tests, freshness checks, observability, lineage, documentation, governance, version control, CI/CD, and automated validation - to protect trust in analytical products.
Investigate product and business performance, using reliable models and analysis to explain changes, identify opportunities, recommend next steps, and optimize performance, scalability, cost, and freshness.
Create machine-readable business context.
Use AI coding assistants and agentic workflows for exploration, SQL and Python scaffolding, refactoring, test generation, documentation, and impact analysis.
Validate AI-generated code and analytical logic through profiling, targeted tests, query results, lineage, impact and performance checks, and human review; retain human ownership of metric meaning, modelling, privacy, security, architecture, and production approval.
Mentor developers and analysts on modelling, SQL quality, metric design, testing, documentation, stakeholder discovery, and responsible AI-augmented development, while staying current with modern analytics practices.

Requirements

English proficiency is required for daily communication with international colleagues and partners.
5+ years of experience in analytics development, data development, BI development, or a closely related role.
Advanced SQL skills and strong relational and dimensional modelling expertise, including grain, keys, joins, facts, dimensions, incremental processing, and performance trade-offs.
Hands-on experience building production transformation projects with dbt or a comparable framework on a modern cloud warehouse or lakehouse such as Snowflake.
Experience applying tests, documentation, lineage, version control, CI/CD, observability, governance, privacy, and access controls to analytical data products.
Demonstrated ability to define and govern business metrics, semantic models, and reusable datasets used by multiple teams or products.
Strong product and business acumen.
Proficiency in Python and AI-assisted or agentic development workflows, with the judgment to validate outputs through testing, profiling, review, and business context.
Excellent communication and collaboration skills, including the ability to explain modelling choices, analytical trade-offs, and data limitations to non-technical stakeholders.

What to expect during our hiring process

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

Screening call with our Talent Acquisition Partner (30-45 minutes)
Techncial session with a member of the Data Team and Manager (60 minutes)
Final interview with our CEO (30 minutes)
Offer & onboarding 🎉

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

Why join Stay22?

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 careers@stay22.com)

Your application will be reviewed by Nayo, our internal recruiter- even if you don’t meet every requirement but you’re excited, let’s talk.

Read the full bilingual original

-Version française à suivre-

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.

Position overview

Key responsibilities

Design, build, and evolve scalable analytical models and transformation workflows using SQL, dbt, Dagster and modern warehouse patterns.
Define model grain, entities, keys, join paths, facts, dimensions, snapshots, incremental strategies, and materializations that balance usability, performance, and cost.
Translate business concepts into reusable metrics, semantic definitions, and analytical datasets for BI, experimentation, product analytics, and AI-enabled workflows.
Partner with Product, Development, Revenue, Marketing, Operations, and Analytics to identify business problems and opportunities, including instrumentation, funnels, activation, engagement, conversion, retention, attribution, and revenue metrics.
Build and maintain reliable ELT and transformation workflows from internal and third-party sources, working closely with Data Development on ingestion and platform concerns.
Apply production development practices - including data quality tests, freshness checks, observability, lineage, documentation, governance, version control, CI/CD, and automated validation - to protect trust in analytical products.
Investigate product and business performance, using reliable models and analysis to explain changes, identify opportunities, recommend next steps, and optimize performance, scalability, cost, and freshness.
Create machine-readable business context.
Use AI coding assistants and agentic workflows for exploration, SQL and Python scaffolding, refactoring, test generation, documentation, and impact analysis.
Validate AI-generated code and analytical logic through profiling, targeted tests, query results, lineage, impact and performance checks, and human review; retain human ownership of metric meaning, modelling, privacy, security, architecture, and production approval.
Mentor developers and analysts on modelling, SQL quality, metric design, testing, documentation, stakeholder discovery, and responsible AI-augmented development, while staying current with modern analytics practices.

Requirements

English proficiency is required for daily communication with international colleagues and partners.
5+ years of experience in analytics development, data development, BI development, or a closely related role.
Advanced SQL skills and strong relational and dimensional modelling expertise, including grain, keys, joins, facts, dimensions, incremental processing, and performance trade-offs.
Hands-on experience building production transformation projects with dbt or a comparable framework on a modern cloud warehouse or lakehouse such as Snowflake.
Experience applying tests, documentation, lineage, version control, CI/CD, observability, governance, privacy, and access controls to analytical data products.
Demonstrated ability to define and govern business metrics, semantic models, and reusable datasets used by multiple teams or products.
Strong product and business acumen.
Proficiency in Python and AI-assisted or agentic development workflows, with the judgment to validate outputs through testing, profiling, review, and business context.
Excellent communication and collaboration skills, including the ability to explain modelling choices, analytical trade-offs, and data limitations to non-technical stakeholders.

What to expect during our hiring process

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

Screening call with our Talent Acquisition Partner (30-45 minutes)
Techncial session with a member of the Data Team and Manager (60 minutes)
Final interview with our CEO (30 minutes)
Offer & onboarding 🎉

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

Why join Stay22?

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.

Your application will be reviewed by Nayo, our internal recruiter- even if you don’t meet every requirement but you’re excited, let’s talk.

Aperçu du poste

L’équipe Data de Stay22 transforme les données brutes en informations fiables qui orientent les décisions produit et d’affaires. En tant que développeur·se analytique senior, vous serez responsable de la couche de modélisation et de transformation qui convertit les données entreposées en produits de données réutilisables. La modélisation est au cœur de votre travail: définir les entités, la granularité, les relations, les faits, les dimensions et les métriques gouvernées auxquelles les parties prenantes peuvent se fier.

Vous collaborerez avec les équipes Produit, Développement, Analytique et Affaires pour résoudre des problèmes et découvrir des occasions d’affaires - de l’amélioration de l’expérience utilisateur et de la performance des produits à l’augmentation de la conversion, des revenus des partenaires et de l’efficacité opérationnelle. Vous traduirez ces besoins en modèles sémantiques ainsi qu’en ensembles de données et outils en libre-service qui aident les équipes à décider et à agir rapidement.

Ce rôle allie des pratiques avancées en SQL et en développement à un solide sens du produit et des affaires. Vous utiliserez des outils de codage agentiques et assistés par l’IA pour accélérer la livraison, tout en conservant une responsabilité humaine quant à la qualité, à la sécurité, à l’exactitude et à la signification d’affaires des données.

Principales responsabilités

Concevoir, développer et faire évoluer des modèles analytiques et des flux de transformation évolutifs avec SQL, dbt, Dagster et les pratiques modernes d’entrepôt de données.
Définir la granularité, les entités, les clés, les jointures, les faits, les dimensions, les snapshots, les stratégies incrémentales et les matérialisations en équilibrant convivialité, performance et coûts.
Traduire les concepts d’affaires en métriques, définitions sémantiques et ensembles de données réutilisables pour la BI, l’expérimentation, l’analytique produit et les flux propulsés par l’IA.
Collaborer avec les équipes Produit, Développement, Revenus, Marketing, Opérations et Analytique pour cerner les occasions d’affaires : instrumentation, tunnels de vente, activation, engagement, conversion, rétention, attribution et revenus.
Développer et maintenir des flux ELT fiables à partir de sources internes et tierces, en collaboration avec l’équipe de développement des données.
Appliquer les pratiques de développement de production - tests de qualité, fraîcheur, observabilité, lignage, documentation, gouvernance, contrôle de version, CI/CD et validation automatisée - pour assurer la fiabilité des produits analytiques.
Analyser la performance des produits et de l’entreprise pour expliquer les variations, repérer des occasions, recommander les prochaines étapes et optimiser la performance, les coûts et la fraîcheur des données.
Créer un contexte d’affaires lisible par l’IA.
Utiliser des assistants de codage IA et des flux agentiques pour l’exploration, la programmation SQL et Python, la refactorisation, les tests, la documentation et l’analyse d’impact.
Valider le code et la logique générés par l’IA (profilage, tests ciblés, lignage, impact, performance et révision humaine), tout en conservant la responsabilité humaine de la signification des métriques, de la modélisation, de la confidentialité, de la sécurité, de l’architecture et des mises en production.
Encadrer développeur·se·s et analystes en modélisation, qualité SQL, conception de métriques, tests, documentation, découverte des besoins et développement responsable augmenté par l’IA.

Expérience recherchée

Une bonne connaissance de l’anglais est requise pour communiquer au quotidien avec des collègues à l’international.
Plus de 5 ans d’expérience en développement des données ou dans un rôle similaire.
Maîtrise de SQL et Python, avec expérience confirmée des entrepôts de données modernes (Snowflake un atout).
Expérience solide dans la création et la maintenance de pipelines ETL/ELT et dans l’utilisation d’outils d’orchestration (dbt et Dagster sont un atout).
Compétence avec les plateformes cloud et leurs services de stockage et traitement de données.
Excellente compréhension de l’entreposage de données, de la modélisation, de l’architecture data et des pratiques de qualité/gouvernance.
Capacité démontrée à concevoir des solutions pour des problématiques data complexes et à piloter des projets de bout en bout, jusqu’à la mise en production.
Solides aptitudes de communication et de collaboration, avec la capacité de vulgariser des concepts techniques auprès de publics non techniques.

À quoi t'attendre pendant notre processus de recrutement

Nous savons que ton temps est précieux, voici un aperçu rapide des prochaines étapes :

Entretien téléphonique avec notre partenaire en recrutement (30 à 45 minutes)
Session de brainstorming sur la conception de systèmes (Miro) avec l’équipe de développement (60 minutes)
Entretien final avec notre PDG (30 minutes)
Offre et intégration 🎉

Note : ce processus peut évoluer selon les besoins de l'équipe.

Pourquoi rejoindre Stay22?

Emplacement de choix à Montréal : Travaillez depuis notre dynamique siège social situé dans la Petite-Italie, avec une allocation pour la cafétéria, un accès complet au gym, ainsi qu’une terrasse sur le toit comprenant un terrain saisonnier de basketball/pickleball et une patinoire de hockey.
Une gamme complète d’avantages sociaux : Couverture santé et dentaire, contribution de l’employeur au REER, titre de transport STM entièrement payé, ainsi que des activités d’équipe, événements et retraites réguliers.
Une flexibilité adaptée à votre réalité : Horaires flexibles, possibilités de travailler de n’importe où, fermeture des bureaux en fin d’année et journées flexibles.

(Stay22 est un employeur garantissant l’égalité des chances. Toutes les candidatures qualifiées seront examinées. Si vous avez un handicap ou des besoins particuliers nécessitant des aménagements, contactez-nous à careers@stay22.com.)

Ton CV sera lu par Nayo, notre recruteur interne, même si tu ne coches pas toutes les cases, on aimerait quand même te rencontrer.

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More about this job

Responsibilities

You will design and maintain scalable analytical models and transformation workflows to turn raw data into trusted business insights. You will also collaborate with cross-functional teams to define metrics and implement reliable ELT processes using modern data tools.

Requirements

Candidates must have 5+ years of experience in data or analytics development with advanced SQL and dimensional modeling skills. Proficiency in Python, dbt, and cloud data warehouses like Snowflake is required, along with strong communication skills.

Skills

SQL
Data modeling
dbt
Dagster
Python
Snowflake
Data warehousing
ELT pipelines
Business intelligence
Semantic modeling
CI/CD
Data governance
AI-assisted coding
Analytical modeling
Metric design
Stakeholder communication

Benefits

Health insurance
Dental coverage
RRSP matching
Paid STM pass
Gym access
Cafeteria allowance
Flexible schedule
Work-from-anywhere opportunities
Year-end shutdown
Team socials and retreats

Visa sponsorship

Not detected in the job text

Hiring contact

Nayo

Keywords

Data Developer
Analytics
SQL
Python
dbt
Dagster
Snowflake
Data Modeling
Dimensional Modeling
ELT
ETL
Business Intelligence
Semantic Layer
Data Governance
CI/CD
Observability
Data Lineage
AI Coding Assistants
Product Analytics
Cloud Warehouse
Lakehouse
Metrics
Data Quality
Version Control
Stakeholder Management
Data Engineering
Performance Optimization
Attribution
Conversion
Retention

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