Marketing Data Science Analyst

Company Description

Be part of the journey!

Our mission is to be our customers' and team's favorite airline.

Open-mindedness, care for others, intelligence at work and above all a healthy dose of fun allow us to accomplish great things every day, such as becoming the first international tour operator to obtain Travelife certification for our commitment to sustainable tourism. We have also repeatedly won the title of world's best leisure airline. And this is just the beginning.

Want to join us? From hiring, you will enjoy travel privileges to discover the world. You will also have the opportunity to work in modern and inspiring working environments.

Job Description

In collaboration with the marketing planning management, the data scientist plays a key role in marketing measurement, experimentation, and performance analysis across integrated and cross-platform initiatives.

They help strengthen measurement capabilities to support informed decisions regarding marketing investment, campaign planning, and optimization. They develop scalable measurement frameworks, advance experimentation practices, and generate insights to better understand performance levers, incremental impact, and investment opportunities.

Working closely with the marketing planning, media strategy, performance, revenue management, and finance teams, the person helps instill a data-driven decision-making culture. They address complex issues related to campaign effectiveness, incrementality, forecasting, demand generation, and budget allocation, while establishing reproducible processes and scalable tracking tools.

Responsibilities:

• Develop and evolve marketing measurement frameworks for campaigns, audiences, channels, and business lines.
• Define comprehensive measurement plans (KPIs, success criteria, assumptions, incrementality) and ensure their integration from the campaign planning stage.
• Differentiate between platform-reported performance, attributed performance, and the actual incremental impact on business results.
• Collaborate with marketing teams to define and execute the Test & Learn roadmap and structure hypotheses.
• Design and analyze experiments (geo-tests, control groups, pre/post analyses), including power analyses and lift detection.
• Apply statistical and causal inference methods to generate robust insights (lift, iROAS, confidence levels, limitations).
• Develop and use advanced analytical approaches, including Marketing Mix Modeling (MMM), to optimize marketing investment allocation.
• Evaluate campaign performance and produce in-depth analyses on performance levers, customer behaviors, and demand trends.
• Design and improve dashboards, automate reports, and ensure data quality and consistency.
• Support forecasting (demand, bookings, campaign impact) and automate analyses using Python, SQL, and BI tools.
• Collaborate with stakeholders to support decision-making and translate analyses into concrete 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 multi-channel environment.
• Experience in developing measurement frameworks, designing experiments, and translating insights into business recommendations.
• Strong skills in applied statistics (regression, hypothesis testing, confidence intervals, model validation, uncertainty interpretation).
• Expertise in experimentation and incrementality (control vs. exposed groups, geo-tests, bias, causal inference).
• Experience in forecasting (trends, seasonality, baseline vs. incremental) with tools such as ARIMA, SARIMAX, or Prophet.
• Experience with advanced approaches such as Marketing Mix Modeling (MMM), attribution, or marketing contribution analysis.
• Excellent command of Python and SQL for analysis, automation, and data management.
• Excellent command of MS Office tools (Word, Excel, Outlook, Teams) and demonstrated ease with collaborative digital tools and AI (e.g., Copilot).
• Ability to learn quickly and adapt to new technologies.
• Oral and written fluency in French and English *

*Good proficiency in French is required for positions in Quebec. The incumbent will need to communicate frequently in English, orally and in writing, with colleagues, clients, or other stakeholders, both in Quebec and internationally.

Additional Information

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Artificial intelligence tools are used for application analysis, whether to sort or pre-select profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process.

Employment Equity

Transat is committed to fostering an inclusive and respectful environment where equity prevails. We strive to build a workforce that reflects the diversity of our customers and the communities in which we travel. We therefore encourage women, visible minorities, ethnic minorities, Indigenous peoples, and persons with disabilities to apply. Transat will accommodate persons with disabilities throughout the selection and hiring process. If you need accommodation measures, please contact us so that we can work together to meet your needs appropriately.