DATA ANALYST at La Vie en Rose
Montréal, QC H1V 3J5, Canada -
Full Time


Start Date

Immediate

Expiry Date

07 Jul, 25

Salary

0.0

Posted On

07 Apr, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Tableau, Data Extraction, Devops, English, Microsoft, Power Bi, Statistics, Business Intelligence, Qlik, Analytics

Industry

Information Technology/IT

Description

Join a diverse and talented team
For years now, we’ve been designing lingerie and swimwear for everyday living. Why do we do what we do? Because we want women around the world to look and feel their best! Join our dynamic team to start a stimulating professional career in a committed and constantly evolving environment.
We’re a proudly local company with more than 4,600 employees and more than 287 stores across Canada and in 19 countries around the globe (100 stores).

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).
Responsibilities
  • Lead exploratory data analysis projects across business units and identify opportunities to leverage data to create added value;
  • Design and deploy advanced analytical models that transform raw data into actionable insights;
  • Perform statistical analyses to address critical business questions and identify emerging trends;
  • Assist business unit super-users in optimizing and enriching their Power BI reports and dashboards;
  • Support the development of data visualizations and analytical dashboards for business units;
  • Collaborate with data architects and IT teams to evolve the business intelligence infrastructure based on emerging analytical needs;
  • Actively participate in governance and continuous improvement of the central data model;
  • Develop and maintain rigorous technical documentation of data flows, analytical models, and deployed methodologies;
  • Provide advanced training on data analysis techniques and optimal use of BI tools to end-users and developers
Loading...