Data & Analytics - Analytics Engineer

at  Aritzia

New Westminster, BC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate14 Oct, 2024USD 75000 Annual15 Jul, 2024N/ANew Opportunities,Data Models,Aws,Object Oriented ProgrammingNoNo
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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