Analyste des données marketing (Temporaire - 6 mois)

📌 Core Information

🔹 Job Title: Analyste des données marketing (Temporaire - 6 mois)

🔹 Company: Transat AT

🔹 Location: Montréal, QC, Canada

🔹 Job Type: Temps plein

🔹 Category: Marketing

🔹 Date Posted: 2025-04-09

🔹 Experience Level: 5-10 ans

🔹 Remote Status: On-site

🚀 Job Overview

Key aspects of this role include:

• Improving data usage and providing strategic data analysis
• Determining trends in customer base and market
• Supporting teams in defining key performance indicators
• Optimizing analysis tools and machine learning

ASSUMPTION: This role requires a strong analytical mindset and experience in data analysis to drive business decisions and improve marketing strategies.

📋 Key Responsibilities

✅ Gestion de base de données: Standardisation et structuration des données clients et de performance marketing

• Définir, sélectionner et valider les données clients pertinents pour la segmentation et l'analyse prédictive
• Améliorer la qualité et enrichir la base de données clients en accompagnant les équipes avec méthodologie, processus et outillage appropriés pour le nettoyage, l'enrichissement et la maintenance
• Soutenir et définir le programme de collecte de données, en utilisant une source de données interne ou externe
• Participer à la définition de la bonne structuration et de la solution de stockage des données

✅ Analyse, tableau de bord et reporting: analyse de données et mise en place/optimisation des outils de suivi et de prévision

• Analyser la base de données et interpréter les données pour challenger les analyses des autres équipes lors de la fabrication des recommandations sur des actions
• Conceptualiser et développer des algorithmes complexes pour répondre aux différents besoins de modélisation en interne
• Supporter les équipes pour définir des indicateurs de performance clés (KPI) par rapport aux objectifs d'affaires
• Participer à l'optimisation des outils d'analyse et de machine learning

✅ Accompagnement des équipes

• Diffuser les bonnes pratiques au sein de l'équipe Marketing et des autres équipes et optimiser les traitements de données, la gestion, l'analyse, le suivi et le reporting
• S'assurer de la bonne appropriation des différentes solutions d'outillage par les différents utilisateurs

ASSUMPTION: This role requires strong analytical and problem-solving skills, as well as the ability to work collaboratively with various teams to drive data-driven decisions.

🎯 Required Qualifications

Education: Baccalauréat ou formation académique comparable en commerce/gestion/économie/statistique ou traitement de données

Experience: Minimum de 4 ans d'expérience à titre d'analyste de la donnée

Required Skills:

• Excellente maîtrise des langages de programmation SQL et Python
• Maîtrise des outils de visualisation de données (Power BI, Looker Studio)
• Excellente maîtrise des techniques d'analyse de données et de Machine Learning
• Expérience avec la plateforme GCP (Google Cloud Platform) et de Big Query
• Proactif, flexible et communicant
• Méthodique, rigoureux avec une grande capacité d'analyse
• Orienté client avec une bonne compréhension des enjeux d'affaires
• Excellente communication orale et écrite
• Maîtrise orale et écrite du français et de l'anglais
• Capacités analytiques remarquables, sens de l'organisation reconnu et excellent esprit d'équipe
• Connaissance de l'industrie du voyage, un atout

Preferred Skills:

• Expérience dans l'industrie du voyage

ASSUMPTION: Candidates should have a strong background in data analysis, with a focus on marketing data, and be comfortable working with various teams to drive data-driven decisions.

💰 Compensation & Benefits

Salary Range: Based on industry standards for a data analyst role with 4-6 years of experience in the marketing field in Montreal, QC, the estimated salary range is CAD 70,000 - 90,000 per year.

Benefits:

• Travel Privileges

Working Hours: Full-time, 40 hours per week

ASSUMPTION: The salary range provided is an estimate based on market research and may vary depending on the candidate's experience and skills.

📌 Applicant Insights

🔍 Company Context

Industry: Travel Arrangements

Company Size: 5,001-10,000 employees

Founded: 1987

Company Description:

• Founded in Montreal 36 years ago, Transat has achieved worldwide recognition as a provider of leisure travel, operating as an air carrier under the Air Transat brand.
• Voted World's Best Leisure Airline by passengers at the 2024 Skytrax World Airline Awards, it flies to international destinations.
• By renewing its fleet with the most energy-efficient aircraft in their category, it is committed to a healthier environment, knowing that this is essential to its operations and the destinations it serves.

Company Specialties:

• Tourism
• Travel
• Leisure
• Aviation
• and Services

Company Website: http://www.transat.com

ASSUMPTION: Transat AT is a well-established company in the travel industry, focusing on leisure travel and committed to sustainable practices.

📊 Role Analysis

Career Level: Mid-level to senior data analyst role

Reporting Structure: Reports directly to the Chief of Data Analysis Marketing

Work Arrangement: On-site, full-time position

Growth Opportunities:

• Potential growth into a senior data analyst or data management role
• Opportunities to work on diverse projects and gain experience in various aspects of data analysis
• Possibility to contribute to the company's sustainability initiatives through data-driven insights

ASSUMPTION: This role offers opportunities for professional growth and development within the data analysis field and the broader travel industry.

🌍 Location & Work Environment

Office Type: Corporate office environment

Office Location(s): 300, Léo-Pariseau, Montreal, Quebec H2X4C2, CA

Geographic Context:

• Montreal is a multicultural city with a vibrant arts and culture scene
• Quebec is a primarily French-speaking province with a strong focus on education and healthcare
• Canada offers a high quality of life, with universal healthcare and a strong social safety net

Work Schedule: Standard full-time work hours, with flexibility for occasional remote work

ASSUMPTION: The work environment is professional and collaborative, with opportunities for remote work and a focus on work-life balance.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• In-person or video interview with the hiring manager
• Final interview with the team

Key Assessment Areas:

• Data analysis and problem-solving skills
• Communication and collaboration skills
• Understanding of marketing data and trends
• Cultural fit and alignment with company values

Application Tips:

• Highlight relevant data analysis experience and achievements in your resume
• Tailor your cover letter to demonstrate your understanding of the role and the company's mission
• Prepare examples of data analysis projects or case studies to discuss during the interview
• Research the company and the industry to show your enthusiasm and commitment

ATS Keywords: Data analysis, marketing data, SQL, Python, data visualization, machine learning, GCP, Big Query, customer segmentation, predictive analysis, KPI, performance marketing

ASSUMPTION: The application process is competitive, and candidates should be prepared to demonstrate their data analysis skills and cultural fit with the company.

🛠️ Tools & Technologies

• SQL
• Python
• Power BI
• Looker Studio
• Google Cloud Platform (GCP)
• Big Query

ASSUMPTION: Candidates should have experience with the listed tools and technologies, as well as a willingness to learn and adapt to new tools as needed.

👔 Cultural Fit Considerations

Company Values:

• Customer-centric approach
• Collaboration and teamwork
• Innovation and continuous improvement
• Sustainability and social responsibility

Work Style:

• Collaborative and team-oriented
• Data-driven and analytical
• Adaptable and flexible
• Committed to continuous learning and improvement

Self-Assessment Questions:

• How do you approach working with diverse teams to drive data-driven decisions?
• How do you ensure the quality and accuracy of your data analysis?
• How do you stay up-to-date with industry trends and best practices in data analysis?

ASSUMPTION: Candidates should be able to demonstrate their alignment with the company's values and work style, as well as their ability to work effectively in a collaborative, data-driven environment.

⚠️ Potential Challenges

• Working with large and complex datasets may present technical challenges
• Balancing the need for data-driven decisions with the need for quick turnaround times
• Ensuring data privacy and security in a travel industry context
• Adapting to changes in the industry and the company's data analysis needs

ASSUMPTION: Candidates should be prepared to address these potential challenges and demonstrate their ability to work effectively in a dynamic and evolving environment.

📈 Similar Roles Comparison

• Compared to other data analyst roles, this position focuses more on marketing data and customer segmentation
• Industry-specific context: The travel industry is highly competitive and data-driven, with a strong focus on customer experience and personalization
• Career path comparison: This role offers opportunities for growth into senior data analyst or data management positions within the travel industry

ASSUMPTION: Candidates should research similar roles and the industry to understand the unique aspects of this position and how it fits into their career trajectory.

📝 Sample Projects

• Customer segmentation analysis to inform targeted marketing campaigns
• Predictive analysis of customer churn to identify at-risk customers and develop retention strategies
• Performance marketing analysis to optimize advertising spend and maximize ROI

ASSUMPTION: Candidates should be prepared to discuss their experience with similar projects and how they have driven data-driven decisions in their previous roles.

❓ Key Questions to Ask During Interview

• How does this role fit into the company's overall data analysis strategy?
• What are the most pressing data analysis challenges facing the team currently?
• How does the company support the professional development of its data analysts?
• What are the key priorities for this role in the first 30-60-90 days?
• How does the company approach data privacy and security in the travel industry context?

ASSUMPTION: Candidates should prepare thoughtful questions to demonstrate their interest in the role and the company's data analysis efforts.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Customize your resume to highlight your relevant data analysis experience and skills
• Tailor your cover letter to demonstrate your understanding of the role and the company's mission
• Prepare examples of data analysis projects or case studies to discuss during the interview
• Follow up with the hiring manager one week after submission to express your interest and reiterate your qualifications

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.