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High Rise Window Cleaning Jobs in Quebec (NOW HIRING)

... window changes, visual presentation, and marketing placement as needed. * All store positions ... Consistently provide the most safe, clean, and engaging experience by adhering to all safety ...

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High Rise Window Cleaning information

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$9

$23

$44

How much do high rise window cleaning jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for high rise window cleaning in Quebec is $23.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $24.76 per hour, depending on experience, location, and employer.

What is a High Rise Window Cleaning job?

A high-rise window cleaning job involves cleaning the exterior windows of tall buildings using specialized equipment and safety gear. Workers use rope access systems, scaffolding, or aerial lifts to reach and clean windows at great heights. This job requires proper training, certification, and adherence to strict safety standards to prevent accidents. High-rise window cleaners often work in various weather conditions and must have strong attention to detail. Their work helps maintain the building’s appearance and ensures clear visibility through the windows.

How much does a skyscraper window cleaner get?

Skyscraper window cleaners typically earn between $40,000 and $70,000 annually, depending on experience, location, and the complexity of the buildings they service. They often work at heights using specialized equipment and may receive additional pay for hazardous conditions or overtime.

How much does a skyscraper window cleaner pay?

Skyscraper window cleaners typically earn between $15 and $25 per hour, with annual salaries ranging from approximately $30,000 to $50,000 depending on experience, location, and job complexity. Higher wages are often associated with specialized skills, safety certifications, and working in high-demand urban areas.

How much do Burj Khalifa window cleaners get paid?

High rise window cleaners working on iconic skyscrapers like the Burj Khalifa can earn significantly higher wages than standard window cleaning jobs, often ranging from $50,000 to over $100,000 annually depending on experience, certifications, and risk factors. These roles typically require specialized training, safety certifications, and working at great heights with harnesses and scaffolding.

How to become a skyscraper window cleaner?

To become a high rise window cleaner, you typically need a high school diploma or equivalent, along with training in safety procedures and the use of cleaning tools and equipment. Workers often start as ground crew or in lower-rise cleaning jobs to gain experience before working on skyscrapers, and may need to obtain certifications such as OSHA safety training. Physical fitness, comfort with heights, and the ability to work in challenging weather conditions are also important.

What are the key skills and qualifications needed to thrive in the High Rise Window Cleaning position, and why are they important?

To thrive as a High Rise Window Cleaner, you need physical fitness, attention to safety, and experience or training in working at heights. Familiarity with safety harnesses, rope descent systems, and OSHA certification for fall protection are typically required. Excellent communication, teamwork, and a strong attention to detail help professionals excel in this field. These skills and qualities are crucial to ensure both the safety of workers and the delivery of superior cleaning results on challenging, tall structures.

What are some common challenges faced by high rise window cleaning professionals?

High rise window cleaners often encounter challenges such as unpredictable weather conditions, working in physically demanding and high-risk environments, and the need to adhere to strict safety protocols at all times. They may also need to coordinate with building management and other trades working on-site to schedule access and maintain a safe workspace. Successfully overcoming these challenges requires not only technical skills but also adaptability and strong situational awareness. Many employers provide comprehensive safety training and ongoing professional development to support team members in managing these conditions.

What are popular job titles related to High Rise Window Cleaning jobs in Quebec? For High Rise Window Cleaning jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching High Rise Window Cleaning jobs in Quebec look for? The top searched job categories for High Rise Window Cleaning jobs in Quebec are:
Infographic showing various High Rise Window Cleaning job openings in Quebec as of June 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 100% In-person job distribution, with an average salary of $48,038 per year, or $23.1 per hour.
Data Analyst, Consumer & Commercial Analytics

Data Analyst, Consumer & Commercial Analytics

MADE BY GATHER

Montreal, QC • On-site

Other

Posted 19 days ago


Job description

Data Analyst, Consumer & Commercial Analytics


Made by Gather - the company behind America’s fastest-growing kitchenware brands. Founded in 2003 by entrepreneur Shae Hong, Made by Gather makes super-premium design and innovation accessible through our brands Beautiful by Drew® and bella®. We’ve spent 20+ years developing our special sauce.


  • Hybrid work schedule
  • Summer Fridays
  • Free access to fitness center with lockers and showers in office building
  • Private courtyard
  • Direct access to McGill metro station and REM station
  • Adjacent to Time Out Market and other restaurants and retailers
  • Dynamic environment surrounded by beauty; we provide coffee, drinks, and snacks


If you’re looking for a workplace that values initiative, creativity, and results while providing tools to grow through learning and development programs, this is the place for you.


About The Role

Our teams make decisions daily using a wide range of data: sales, digital shelf, media, reviews, audience, brand equity, and surveys. They need fast, reliable answers to move forward.


That’s where you come in. This role keeps the business running on data day-to-day. You’ll build recurring reports, answer one-off questions, and develop dashboards that enable self-service.


You’ll also maintain our data foundation: metric definitions, documentation, quality checks, and privacy standards. You’ll work closely with data science and cross-functional teams including marketing, sales, product, and insights.


Every team relies on data. The analyst who owns reporting, dashboards, and the semantic layer has a major impact on decision-making. You’ll gain exposure across brands, channels, and functions while building the foundation that enables speed and trust.


Responsibilities

Reporting, ad-hoc analysis, and dashboards

  • Own recurring deliverables like weekly/monthly scorecards, trackers, and leadership readouts.
  • Ensure reports are accurate, timely, and clear; investigate discrepancies before sharing.
  • Be the go-to for ad-hoc requests from brand, marketing, and commercial teams.
  • Turn questions into insights using sources like Circana, Profitero, media platforms (Amazon, Walmart Connect, Target Roundel, Meta, TikTok), GWI, BERA, Yogi, and custom surveys.
  • Build and maintain dashboards designed for usability; if it’s not used, it’s not effective.
  • Handle ad-hoc data pulls from the warehouse without needing full pipeline builds.
  • Design, field, and analyze primary research (pulse checks, concept tests, pricing, messaging). Write questionnaires, set logic and quotas, and translate results into actionable insights.

Hands-on data governance

  • Own metric definitions and shared dimensions powering dashboards.
  • Maintain a clear data dictionary so metrics are consistently understood.
  • Document data sources, including scope, refresh cadence, and limitations.
  • Build and run quality checks to catch errors before reports are shared.
  • Maintain naming conventions and taxonomy across files and dashboards.
  • Identify and resolve inconsistencies across reports.
  • Handle consumer data in compliance with GDPR, CCPA, and internal standards.

Qualifications

  • 2–3 years of analytics, BI, or reporting experience, ideally with consumer, retail, CPG, or media data.
  • Strong SQL skills; able to write clean queries using joins, CTEs, and window functions.
  • Comfortable with Snowflake or similar cloud warehouses and performance considerations
  • Experience building dashboards in Power BI; Tableau or Looker also relevant.
  • Strong Excel skills (cleaning, pivoting, lookups).
  • Experience combining multiple data sources into clear insights.
  • Solid understanding of survey methodology and tools like Alchemer, Qualtrics, or SurveyMonkey. Familiar with techniques like conjoint, MaxDiff, and A/B testing.
  • High attention to detail and accuracy.
  • Clear written communication; able to translate data into insights.
  • Service-oriented mindset; dependable for stakeholders.
  • Understands importance of documentation, naming, and data operations.

Bonus Qualifications

  • Experience with dbt (models, testing, dependencies).
  • Experience with syndicated data sources (Circana/IRI, Profitero, GWI, BERA, Yogi, Kantar, SEMRush).
  • Advanced quantitative research experience (conjoint, MaxDiff, van Westendorp, TURF) or A/B testing.
  • Familiarity with retail media (Amazon Ads, Walmart Connect, Target Roundel) and/or digital platforms (Meta, TikTok, Google).
  • Experience with data catalog/documentation tools.
  • Awareness of data privacy frameworks (GDPR, CCPA).
  • PowerPoint skills for presenting insights.



Data Analyst, Consumer & Commercial Analytics


Nous sommes une entreprise de biens de consommation spécialisée dans les petits appareils électroménagers et produits de cuisine. Nos équipes utilisent quotidiennement des données variées : ventes, présence digitale, médias, avis, audience, équité de marque et enquêtes, et ont besoin de réponses rapides et fiables.


C’est là que vous intervenez. Ce rôle est au cœur des opérations data quotidiennes. Vous construirez des rapports récurrents, répondrez à des analyses ponctuelles et développerez des tableaux de bord en libre-service.


Vous serez également responsable de l’organisation des données : définitions, documentation, qualité et confidentialité. Vous collaborerez avec la data science et les équipes marketing, commerciales, produit et insights.


Chaque équipe s’appuie sur les données. Ce rôle a donc un impact direct sur la prise de décision. Vous interviendrez sur plusieurs marques, canaux et fonctions tout en renforçant les fondations data de l’entreprise.


Responsabilités

Reporting, analyses ad hoc et tableaux de bord

  • Gérer des livrables récurrents (tableaux de bord, suivis, présentation
  • Garantir précision, clarté et respect des délais; investiguer les écarts.
  • Transformer les questions en analyses via des sources comme Circana, Profitero, plateformes médias, GWI, BERA, Yogi et enquêtes.
  • Construire des tableaux de bord orientés utilisateur.
  • Réaliser des extractions ad hoc depuis l’entrepôt de données.
  • Concevoir et analyser des études (tests rapides, concepts, prix, messages) et produire des recommandations exploitables.

Gouvernance des données

  • Gérer les définitions de métriques et dimensions.
  • Maintenir un dictionnaire de données clair et cohérent.
  • Documenter les sources, fréquences et limites.
  • Mettre en place des contrôles qualité.
  • Maintenir des conventions de nommage cohérentes.
  • Identifier et résoudre les incohérences.
  • Gérer les données consommateurs selon le RGPD, CCPA et standards internes.

Qualifications

  • 2 à 3 ans d’expérience en analytique, BI ou reporting.
  • Maîtrise de SQL (requêtes structurées, jointures, fonctions avancées).
  • Expérience avec Snowflake ou équivalent.
  • Expérience Power BI (Tableau/Looker un plus).
  • Excellente maîtrise d’Excel.
  • Capacité à combiner plusieurs sources de données.
  • Bonne connaissance des méthodologies d’enquête et outils associés.
  • Rigueur, précision et sens du détail.
  • Clarté rédactionnelle.
  • Orientation service et collaboration.
  • Compréhension des fondamentaux de gouvernance des données.

Qualifications supplémentaires

  • Expérience avec dbt.
  • Expérience avec données syndiquées (Circana/IRI, Profitero, GWI, BERA, Yogi, Kantar, SEMRush).
  • Expérience en recherche quantitative avancée ou tests A/B.
  • Connaissance des plateformes média et marketing digital.
  • Expérience avec outils de documentation data.
  • Connaissance des cadres de confidentialité (RGPD, CCPA).
  • Compétences PowerPoint.