JUNIOR MARKETING DATA ANALYST
at Boutique La Vie En Rose
Montréal, QC, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 17 Dec, 2024 | Not Specified | 20 Sep, 2024 | N/A | Analytical Skills,Optimization,Digital Channels,Digital Marketing,Ease,Data Models,Google Analytics,Data Science,Data Analysis,Google,Business Analytics | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
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Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
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;
- Hybrid work from home schedule (head office);
- 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:
- Perform advanced online traffic analysis and make recommendations to adjust the marketing strategy and monitor performance;
- Implement semantic analysis models (MMM, clustering, categorization);
- Develop notions to create advanced models and methods in optimization, modeling, statistics and machine learning (machine learning, deep learning);
- Analyze and solve problems using appropriate programming languages and software;
- Improve dashboards or create new data visualization tools;
- Participate in the maintenance of data pipelines;
- Analyze and explain the results and extract relevant information;
- Perform ongoing monitoring related to reports (access, security, etc.);
- Collaborate with the e-commerce and merchandising teams, as well as the SEM campaigns team to optimize performance with a view to increasing traffic to our web properties
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Marketing/Advertising/Sales
Marketing / Advertising / MR / PR
Marketing
Graduate
Business
Proficient
1
Montréal, QC, Canada