Analytics Engineer | Senior Consultant (Data & AI)

Slalom Build

Vancouver

Hybrid

CAD 85,000 - 135,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation package
$100 cell phone reimbursement
RRSP & Employer Matching
TFSA

Job summary

Slalom is a people-first global technology and analytics consultancy. The Analytics Engineer role (Senior Consultant or Consultant) centers on building semantic layers, enabling self-service analytics, and delivering data-rich applications using SQL, Python, Power BI, Tableau, Sigma, and open-source tools.

You will collaborate across business and technical teams to translate requirements into scalable data models and solutions, while contributing to governance and analytics enablement in a

Qualifications

  • 3–5 years of experience in analytics engineering, data engineering, or a related field.
  • Proficiency in SQL and/or Python; experience with semantic layer tools and analytics platforms (e.g., dbt, Looker, Power BI, Tableau, Sigma)
  • Strong understanding of data modeling, ETL processes, and analytics solution design
  • Excellent communication and collaboration skills
  • Exposure to AI/ML integration and modern data architectures

Responsibilities

  • Design, build, and modernize semantic layers for self-service analytics.
  • Develop data-rich apps blending Power BI, Tableau, Sigma with open-source tools (e.g., Streamlit).
  • Translate insights into data models and technical solutions.
  • Collaborate with data engineers, data scientists, and stakeholders to ensure data quality and governance.
  • Stay current with emerging analytics engineering tools and AI/data platforms.

Skills

SQL
Python
Analytics engineering
Data modeling
Communication

Tools

dbt
Looker
Power BI
Tableau
Sigma
Streamlit

Job description

Slalom is a people-first global technology and analytics consultancy. The Analytics Engineer role (Senior Consultant or Consultant) centers on building semantic layers, enabling self-service analytics, and delivering data-rich applications using SQL, Python, Power BI, Tableau, Sigma, and open-source tools.

You will collaborate across business and technical teams to translate requirements into scalable data models and solutions, while contributing to governance and analytics enablement in a

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