Performance Marketing Analyst
Location:
Montréal
Salary:
CA$70K–$85K
About the Role
You will own performance data across paid search paid social retargeting and emerging channels. Your mission is to translate raw campaign data into clear insights and continuous improvement actions for acquisition retention and return on ad spend. You partner with growth product marketing and data engineering to design tracking ensure clean attribution and surface opportunities.
Core Responsibilities
Build and maintain dashboards for channel metrics spend pacing funnel conversion and cohort retention using Looker or similar BI
Audit tracking and attribution structures (UTM usage pixel events server side events) to ensure reliable source and campaign level data
Analyze paid search and paid social query audience creative and placement data to recommend bid allocation and creative iteration
Model CAC LTV payback and marginal return curves to guide budget reallocation
Design and evaluate structured experiments including variant definition success criteria statistical threshold and post test analysis
Surface insights on drop off points within landing page and signup flow then collaborate with product and design on tests
Produce weekly and monthly performance narratives for leadership highlighting trends risks wins and next steps
Maintain a central taxonomy for campaigns ad groups audiences and creative naming ensuring consistency across platforms
Collaborate with engineers to implement or refine data pipelines and ensure data freshness and accuracy
You Will Succeed If You Have
Three or more years in a quantitative marketing or analytics role within SaaS or advertising technology
Strong proficiency in SQL plus comfort with spreadsheet modelling and at least one BI tool (Looker Tableau Power BI)
Hands on familiarity with Google Ads Meta Ads LinkedIn Ads and at least one programmatic or display network
Solid understanding of attribution models incrementality testing lift studies and statistical basics (confidence intervals significance levels)
Ability to turn complex datasets into concise recommendations with business impact
Clear written and verbal communication and an organized approach to stakeholder updates
Nice to Have
Experience with marketing mix modelling or media mix optimisation
Familiarity with Python or R for deeper cohort or predictive analyses
Exposure to revenue operations or lifecycle email analytics
What We Offer
Ownership of performance analytics roadmap and tooling decisions
Direct access to raw data warehouse tables event schemas and product telemetry
Collaboration with a supportive cross functional team focused on learning and iteration
Professional development budget for courses certifications and conferences