Marketing, Data Science Analyst

Description de l'entreprise Be part of the journey! Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work and, above all, a healthy dose of fun enable us to achieve great things every day. Our dedication has earned us the title of the world's best leisure airline multiple times, and we’re just getting started. Want to join us? You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in a modern, inspiring environment. Description du poste In collaboration with the Marketing Planning leadership team, the Data Scientist plays a key role in leading marketing measurement, experimentation, and performance insights across integrated and cross-channel initiatives. The incumbent strengthens Air Transat’s measurement foundation to support better decision-making related to marketing investment, campaign planning, and performance optimization. They develop scalable measurement frameworks, advance experimentation practices, and generate insights that clarify performance drivers, incremental impact, and future investment opportunities. Working closely with Marketing Planning, Media Strategy, Performance Marketing, Revenue Management, and Finance, the Data Scientist contributes to a more rigorous, data-driven approach to decision-making. They tackle complex business questions related to campaign effectiveness, incrementality, forecasting, demand generation, and budget allocation, while building repeatable processes and scalable reporting. Success in this role requires strong technical and statistical expertise, solid business acumen, and the ability to translate complex analyses into clear, actionable recommendations that influence strategic and investment decisions. Responsibilities Own and evolve marketing measurement frameworks across campaigns, audiences, channels, and business lines. Define measurement plans (KPIs, success criteria, benchmarks, attribution logic, incrementality) and ensure they are integrated upfront in campaign planning. Distinguish between platform-reported performance, attributed performance, and true incremental business impact. Partner with marketing teams to define and execute the Test & Learn roadmap, including hypothesis development. Design and analyze experiments (geo tests, audience holdouts, pre/post analyses) including power analysis, sample sizing, and expected lift. Apply statistical and causal inference methods to generate robust insights (lift, iROAS, confidence levels, limitations). Develop and leverage advanced methods, including Marketing Mix Modeling (MMM), to optimize marketing investment allocation. Assess campaign effectiveness and deliver deep-dive insights on performance drivers, customer behavior, and demand trends. Build and enhance dashboards, reporting tools, and data integration while ensuring quality and consistency. Support forecasting (demand, bookings, campaign impact) and automate reporting using Python, SQL, and BI tools. Collaborate with cross-functional stakeholders to support decision-making and translate analysis into actionable recommendations. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, Analytics, or a related field. Minimum of 5 years of experience in marketing analytics, data science, experimentation, or performance measurement in a cross-channel environment. Experience developing measurement frameworks, designing experiments, and translating insights into business recommendations. Strong applied statistics expertise (regression, hypothesis testing, confidence intervals, model validation, uncertainty interpretation). Advanced understanding of experimentation and incrementality (control vs. exposed, geo tests, bias, causal inference). Experience with forecasting (trend, seasonality, baseline vs. incremental) using tools such as ARIMA, SARIMAX, or Prophet. Experience with advanced marketing analytics such as Marketing Mix Modeling (MMM), attribution, or contribution analysis. Strong proficiency in Python and SQL for analysis, automation, and data workflows. Excellent command of MS Office tools (Word, Excel, Outlook, Teams) and comfort with digital collaboration tools and AI (e.g., Copilot). Ability to quickly learn and adapt to new technologies. Oral and written fluency in French and English * *A good knowledge of French is required for positions in Quebec. The incumbent will be required to communicate and collaborate frequently in English, both orally and in writing, with colleagues, customers, and other stakeholders in Quebec, the rest of Canada, and internationally. Informations supplémentaires #LI-CB1 Équité en emploi Transat s’est engagée à favoriser un milieu inclusif et respectueux où l’équité a primauté. Nous nous efforçons de manière à rassembler un effectif qui reflète la diversité de nos clients ainsi que des communautés dans lesquelles nous voyageons. Nous encourageons alors les femmes, les minorités visibles, les minorités ethniques, les autochtones et les personnes avec des handicaps à soumettre leur candidature. Transat accommodera les personnes avec des handicaps tout au long du processus de sélection et d’embauche. Si vous avez besoin des mesures d’adaptation, communiquez avec nous afin que nous puissions ensemble combler vos besoins convenablement. Lieu de travail: Hybride (Présentiel et télétravail) / Hybrid (face-to-face and telework) Type d'horaire: Horaire fixe – 37.5H/semaine : du lundi au vendredi / Fixed schedule - 37.5H/week: Monday to Friday Type de contrat: Permanent - Temps plein Catégorie du poste: Non-Syndiqué

The Data Scientist will lead marketing measurement, experimentation, and performance insights to optimize investment and campaign effectiveness. They are responsible for building scalable reporting frameworks, conducting causal inference analyses, and collaborating with cross-functional teams to drive data-informed decision-making.

Candidates must hold a bachelor's degree in a quantitative field and possess at least 5 years of experience in marketing analytics or data science. Proficiency in Python, SQL, and advanced statistical methods such as regression and incrementality testing is required.

• Travel privileges • Modern work environment

• Visualisation de donnéesSouhaitée
• SQLSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Marketing analytics
• Data science
• Experimentation
• Performance measurement
• Applied statistics
• Causal inference
• Marketing mix modeling
• Python
• SQL
• Forecasting
• Attribution modeling
• Data visualization
• Business acumen
• Strategic planning
• Reporting automation
• Marketing Investment Allocation
• Influencing Skills
• Autoregressive Integrated Moving Average (ARIMA)
• Influencing Without Authority
• Applied Statistics
• Workflow Management
• Campaign Management
• Bilingual (French/English)
• Quick Learning
• Microsoft Excel
• Artificial Intelligence
• Analytics
• Automation
• Business Intelligence
• Business Acumen
• Business Continuity Planning
• Dashboard
• Consumer Behaviour
• Investments
• Causal Inference
• Decision Making
• Collaborative Software
• Confidence Intervals
• Contribution Margins
• Data Integration
• Demand Generation
• English Language
• Finance
• French Language
• Leadership
• Marketing
• Scalability
• Statistical Hypothesis Testing
• Investment Decisions
• Python (Programming Language)

• Data & Analytics
• Marketing
• Technology
• Finance & Accounting
• Marketing Data Scientist
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

38 heures par semaine