Sr. Data Analyst, Marketing Analytics
The Senior Data Analyst will analyze marketing performance data to derive insights that drive strategy and optimization across various channels. They will collaborate with stakeholders to identify key success metrics, develop reporting processes, and conduct experiments to measure the impact of marketing initiatives.
- On-site
- Montréal, QC
- Posted Aug 24, 2026
- 1 position
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Job summary
Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! Job Description The Marketing Analytics team works with the business and marketing stakeholders to analyze and measure the impact marketing has on our business objectives. The Senior Data Analyst, Marketing Analytics, will be responsible for gathering, structuring and analyzing data to derive compelling insights that drive the strategy & optimization of our marketing initiatives. This includes the design and management of data collection and analytics solutions, analysis of the performance of marketing initiatives and their effect on acquisition, retention, engagement, and conversion. WHAT YOU'LL DO Understand the business objective and marketing initiatives to then identify the key success metrics that help evaluate the performance towards the objectives Analyze correlations between business outcomes and marketing initiatives. Establish a benchmarking methodology and set targets for the key metrics identified. Measure and communicate to stakeholders the results. Be a thought leader and spearhead data driven decision making amongst stakeholders. Translate the business questions and challenges from the stakeholders into analytics projects. Deliver a cross-channel, brand level view of performance, insights, and recommendations. Convey the finding on campaign performance and drive strategy and optimization change with stakeholders. Provide data analysis and reporting to identify trends and opportunities across channels, audience segments, and player segments. Work with marketing teams to ensure marketing efforts are effective and drive incremental acquisition, engagement, and conversion. Develop marketing experiments to understand the business impact of paid media and creator campaigns. Leverage data from Adobe Analytics, Gamesight, Salesforce, Datorama and various other tools and platforms. Develop robust analytic processes to frame campaign expectations, inform decision making, and provide optimization recommendations based on performance data. Work with Data Science to use predictive analytics to analyze data from viewership, website interactions, media campaigns, CRM, and social platforms. Assist with budget planning exercises to determine optimal budget for a given campaign. Develop marketing experiments to understand the business impact of paid media Communicate insights and discuss recommendations with brand teams and cross functional partners. Qualifications WHAT YOU'LL BRING 4+ years of proven analytical skills; ability to analyze raw data, draw conclusions, and develop actionable insights. 3+ years of that in paid media and marketing analytics. Experience in marketing or performance analytics roles for paid media, content creators. Previous experience in reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Tableau, and other data/visualization tools; monitor for changes in trends, share insights and make recommendations Familiarity of different paid media measurement options, such as conversion APIs (CAPI), brand lift surveys, conversion lift studies, and audience hold outs. Experience with statistical methods such as regression and hypothesis testing Fluent in French Contract: Permanent Work flexibility: Office-based
What you’ll do
The Senior Data Analyst will analyze marketing performance data to derive insights that drive strategy and optimization across various channels. They will collaborate with stakeholders to identify key success metrics, develop reporting processes, and conduct experiments to measure the impact of marketing initiatives.
Requirements
Candidates must have at least 4 years of analytical experience, with 3 years specifically in paid media and marketing analytics. Proficiency in SQL, Python/R, and data visualization tools is required, along with experience in statistical methods and marketing measurement frameworks.
Listed skills
- Data visualizationPreferred
- SQLPreferred
- TableauPreferred
- Data analysisPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Analysis
- Marketing Analytics
- Paid Media
- SQL
- Python
- R
- Tableau
- Adobe Analytics
- Salesforce
- Datorama
- Predictive Analytics
- Regression Analysis
- Hypothesis Testing
- Data Visualization
- Performance Reporting
- Conversions (API)
- Business Objectives
- Thought Leadership
- Salesforce Datorama
- Planning
- Data-Driven Decision Making
- Analytical Skills
- Analytics
- Benchmarking
- Customer Relationship Management
- Business Continuity Planning
- Dashboard
- Management
- Decision Making
- Data Collection
- Data Infrastructure
- French Language
- R (Programming Language)
- Marketing
- Statistical Hypothesis Testing
- Innovation
- Python (Programming Language)
- Marketing Performance Measurement And Management
- SQL (Programming Language)
- Statistical Methods
- Tableau (Business Intelligence Software)
- Surveys
- Data Science
- Performance Analytics
Job areas
- Data & Analytics
- Marketing
- Technology
- Marketing Analytics Analyst
- Marketing Analyst (General)
- Advertising and Marketing Professionals
- Business Intelligence Analysts
- Data Scientists
Additional details
- Minimum experience
- 2+ years
- Posting language
- English
- Working hours
- 40 hours per week
