Join a diverse and talented team
Exclusive job perks
- 50% discount on all products;
- Flexible hours;
- Opportunities for advancement within the company;
- Being part of a family-owned business committed to the community;
- Performance bonuses (in-store sales or management position);
- Recognition program for years of service;
- Innovation program to encourage idea sharing;
- Referral bonus ;
- Dayforce Wallet (pay on demand: you’ll be able to access a portion of your pay as soon as your shift ends).
For full-time employees:
- Group insurance plan;
- Three (3) to five (5) paid personal days (depending on the position);
- Minimum of 2% employer contribution to your RRSP.
Purpose of the position
As a Data Analyst, you will play a central role in strategic business intelligence projects. In addition to providing guidance to various business units, you will be responsible for creating reports, sophisticated dashboards and ad hoc analyses, as well as continuously improving our data environment.
Duties and responsibilities
- Support the development of data visualizations and analytical dashboards for business units.
- Design and deploy advanced analytical models that transform raw data into actionable insights.
- Lead cross-functional exploratory data analysis projects and identify opportunities to leverage data and generate added value.
- Conduct statistical analyses to address critical business questions and identify emerging trends.
- Support business-unit power users in optimizing and enhancing their Power BI reports and dashboards.
- Collaborate with the data architecture and IT teams to evolve the business intelligence infrastructure in line with emerging analytical needs.
- Actively contribute to the governance and continuous improvement of the central data model.
- Develop and maintain rigorous technical documentation for data flows, analytical models and deployed methodologies.
- Provide advanced training on data analysis techniques and the optimal use of BI tools to end users and developers.
Your profile
- Analytical and inquisitive: you excel at exploring data and identifying meaningful patterns to address business challenges.
- Advanced technical skills in statistical analysis, data visualization and quantitative modelling.
- Advanced conceptual knowledge of dimensional and relational data modelling.
- Solid understanding of data architecture principles and the ability to communicate effectively with technical teams.
- Exceptional ability to simplify complex ideas: you translate technical concepts into clear insights for a variety of audiences.
- Independent and proactive in solving problems, while knowing when to draw on collective expertise.
- Analytical rigour and a commitment to excellence in producing high-quality deliverables.
- Excellent interpersonal skills that enable you to understand the perspectives of different business units and build trusted relationships.
Requirements
- Two to three years of relevant experience in a similar role;
- Bachelor’s degree in a relevant field (business intelligence, analytics, statistics or business administration), or equivalent experience;
- Proficiency with at least one business intelligence tool;
- Knowledge of the following programming languages: SQL and Python;
- Bilingual in French and English, both spoken and written;
- Experience with DevOps and Fabric is an asset;
- Experience in the retail industry is an asset.
#Données
Permanent Full-Time
The information on this site is for information purposes only and is not intended to have legal consequences. This is an ongoing role rather than a newly created position. La Vie en Rose is committed to employment equity. La Vie en Rose has put in place an adaptation process that provides accommodation for selected candidates for an interview.
La Vie en Rose Montréal, Québec, CAN Office
Montréal, Canada
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal



