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Open nowPosted 44 hours ago

DATA ANALYST

Boutique La Vie En Rose276 open roles

Where
SIEGE SOCIAL, 3055 VIAU, MONTREAL, Quebec, Canada
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Your applicationOpen nowDATA ANALYSTBoutique La Vie En Rose · SIEGE SOCIAL, 3055 VIAU, MONTREAL, Quebec, Canada

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Boutique La Vie En Rose postings stay open a median of 20 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 44 hours ago

Boutique La Vie En Rose median: 20 days open

The posting

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

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