DATA ANALYST
Role Overview
The Data Analyst supports strategic business intelligence projects and advises business units.
The role creates reports, sophisticated dashboards, and ad hoc analyses while continuously improving the data environment.
Key Skills for This Role
Full Job Posting
Role purpose
The Data Analyst supports strategic business intelligence projects and advises business units.
The role creates reports, sophisticated dashboards, and ad hoc analyses while continuously improving the data environment.
Benefits and perks
- Perks include a 50% product discount, flexible hours, advancement opportunities, performance bonuses for eligible positions, recognition, innovation and referral programs, and access to a portion of pay after a shift.
- Full-time employees receive group insurance, three to five paid personal days depending on position, and at least a 2% employer RRSP contribution.
Responsibilities
- Support 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 create added value.
- Conduct statistical analyses to answer business questions and identify emerging trends.
- Support power users in optimizing and enhancing Power BI reports and dashboards.
- Collaborate with data architecture and IT teams to evolve business intelligence infrastructure.
- Contribute to governance and continuous improvement of the central data model.
- Document data flows, analytical models, and deployed methodologies.
- Train end users and developers in data analysis techniques and effective BI-tool use.
Candidate profile
- Requires two to three years of relevant experience in a similar role.
- Requires a relevant bachelor’s degree or equivalent experience.
- Requires proficiency with at least one business intelligence tool and knowledge of SQL and Python.
- Requires spoken and written French and English.
- DevOps, Fabric, and retail-industry experience are assets.
- The profile calls for advanced statistical analysis, data visualization, quantitative modelling, and conceptual knowledge of dimensional and relational data modelling.
- Requires understanding of data architecture and ability to communicate technical concepts clearly to different audiences.
- The role calls for analytical rigour, initiative, problem-solving, interpersonal skills, and trusted relationships with business units.
Employment
- The description identifies the role as permanent full-time.
About the company
La Vie en Rose is a locally rooted lingerie and swimwear company with more than 5,000 employees and more than 300 stores in Canada and 19 countries.
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