Data Analyst, Customer Analytics

BRP•Montreal, QC

3d•Hybrid

About The Position

The Customer Analytics team is seeking a Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business and analytics initiatives by building robust measurement frameworks, conducting deep-dive analyses, and partnering closely with data science and business teams. You will help shape consumer-centric KPIs, support predictive modeling efforts, and deliver actionable insights that enhance our understanding of customer behavior and overall business performance. You will collaborate with cross-functional stakeholders across analytics, data science, and business teams to translate complex data into clear insights and recommendations. This role requires strong analytical rigor, the ability to navigate ambiguity independently, and solid communication skills.

Requirements

Minimum 4 years of experience in a similar role
Strong analytical mindset with demonstrated experience in data exploration and insight generation
Strong expertise in SQL and experience working with large, complex datasets
Ability to balance strategic thinking with strong technical execution
Excellent communication skills with the ability to present insights to both technical and non-technical audiences.

Nice To Haves

Familiarity with data science concepts and programming languages (Python, R) is an asset
Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset

Responsibilities

Deliver core analytics and insights
Conduct complex and exploratory analyses to understand customer behavior, purchase journeys, and key business drivers
Identify opportunities to optimize acquisition, retention, and customer value through data-driven insights
Translate ambiguous business problems into structured analytical frameworks and actionable recommendations
Synthesize findings into compelling narratives for both technical and non-technical audiences
Contribute to KPIs and advanced analytics initiatives
Support the development of scalable measurement frameworks to support personalization, segmentation, and targeting strategies
Support the definition, refinement, and implementation of consumer centric KPIs such as churn, CLV, and conversion
Partner with data scientists on consumer related models, including contributing to feature design and selection, business logic, and performance evaluation metrics
Interpret and contextualize model outputs to support business decision-making