Data & Analytics - Analytics Engineer

at  Aritzia

Vancouver, BC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate26 Nov, 2024USD 75000 Annual31 Aug, 2024N/AAws,Data Models,New OpportunitiesNoNo
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Description:

THE TEAM

The mission of the Data & Analytics Department is to maximize the value of Aritzia’s data by making it available, insightful and actionable to foster a culture of data-driven decision making.

THE QUALIFICATIONS

The Senior Analytics Engineer has:

  • Proven skills, education, and/or applicable certifications in:
  • Excellent SQL skills with the ability to create efficient & tune data models
  • 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
  • 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 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 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 Senior Analytics Engineer, you will:

  • 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

Vancouver, BC, Canada