Data & Analytics - Analytics Engineer
at Aritzia
New Westminster, BC, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 14 Oct, 2024 | USD 75000 Annual | 15 Jul, 2024 | N/A | New Opportunities,Data Models,Aws,Object Oriented Programming | No | No |
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Description:
THE TEAM
The mission of the Analytics Department is to provide the business with actionable and accurate information to enable data-driven decision-making.
THE QUALIFICATIONS
The Analytics Engineer has:
- Proven skills, education, and/or applicable certifications in:
- Excellent SQL skills with the ability to create efficient data models, applied to cloud data warehousing in particular
- Strong business modelling skills: going from expressed requirements to an actual data model
- Varied design options of reshaping data tables
- Modern cloud data platforms such as GCP, MS, AWS
- Object-oriented programming (OOP) understanding
- SAP HANA data environment is a plus
- An enthusiastic approach to taking on new opportunities and challenges
- The ability to collaborate fluently with cross-functional partners
- A commitment to learn and apply Aritzia’s Business and People Leadership principles
THE COMPENSATION
The typical hiring range for this position is $75,000 - $150,000 CAD per year. The final agreed upon [salary/wage] may vary based on factors such as job-related knowledge, skills and experience.
We are always looking for top talent - if your qualifications differ from those listed above, the scope of work and final agreed upon [salary/wage] may be adjusted to reflect your individual qualifications.
Aritzia’s Everyday Luxury compensation package goes beyond the base salary with endless growth and recognition opportunities through our pay-for-performance philosophy. Along with comprehensive benefits, aspirational workspaces and elevated employee perks and experiences - we provide it all.
Responsibilities:
As the Analytics Engineer, you will lead and be involved in:
- Develop complex SQL transformations to create beautifully designed and widely used data models
- Embed and enrich business logic to unify the analysis of cross functional teams
- Design and recommend data model structure and flow
- Review and approve model changes and be the technical owner for specific data sub-domains
- Create in Google Cloud Platform and Dataform (Google’s version of DBT)
- Contribute to and leverage the best practices and standards of analytics engineering
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Proficient
1
New Westminster, BC, Canada