Analytics Engineer

Toronto, ON, CA, Canada

Job Description

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value.






At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.





Job Title:



Analytics Engineer -

Consultant or Senior Consultant



So, what will I do?



Design, build, and modernize semantic layers to enable self-service analytics, AI, and cross-platform reporting Design and develop data-rich applications that blend standard software (Power BI, Tableau, Sigma, or similar) with open-source technologies (e.g., Streamlit) Facilitate design and requirements sessions with business and technical teams, translating insights into actionable data models and technical solutions Develop and optimize data models using SQL, Python, or other relevant languages Collaborate with data engineers, data scientists, and stakeholders to ensure data quality, usability, and alignment with business goals Implement best practices for data integration, governance, and analytics enablement Contribute to the delivery of integrated analytics experiences, moving beyond traditional dashboards to deliver holistic, user-centric solutions Stay current with emerging tools and techniques in analytics engineering, AI, and data platforms

And, what will I bring?



2-5 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 Strong problem-solving skills and the ability to translate business needs into technical solutions Fluency in whiteboarding and design solutions for data mapping and user experience requirements Exposure to or interest in AI/ML integration and modern data architectures Excellent communication and collaboration skills

Hybrid/In office: We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirements. Up to 25 - 50% travel







Slalom Employee Perks:



Culture & fun! Lunch & learns Health & wellness activities Holiday parties Employee community groups Social clubs & activities Vacation (20 days prorated based on start date & wellness/sick days)

Tangible perks



Competitive compensation package $100 cell phone monthly reimbursement Registered Retirement Program (RRSP) & Employer Matching Tax-Free Savings Account (TFSA) Annual "Thrive Well-Being" Gift Card Family planning/ Fertility Benefit Maternity/Parental Leave Top-Up Medical & Dental Benefits Life and AD&D Insurance Access to Supplementary Life and AD&D Insurance Access to the Employee Assistance Program (EAP) and Inkblot Therapy And more! All benefits are subject to eligibility requirements




Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants' needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process.






Please note if you are hired at Slalom you will be required to complete a background check

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Job Detail

  • Job Id
    JD3176492
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, CA, Canada
  • Education
    Not mentioned