Analytics Engineer - Consultant or Senior Consultant

Toronto, ON
Hybrid
Posted Oct 10, 2026
1 position

$100,000–$130,000 / year

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Employment type: Full-time
Experience level: Mid-level · 2+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Not Applicable

Job summary

Design and modernize semantic layers, data models, and data-rich applications that support self-service analytics, AI, and cross-platform reporting. Collaborate with business and technical teams to translate requirements into integrated analytics solutions while ensuring data quality, usability, governance, and alignment with business goals.

Job details

Who We Are Slalom is a fiercely human business and technology company that leads with outcomes and teams with leaders, bringing more together. Our purpose is to help people and organizations dream bigger, move faster, and build better tomorrows for all. Every day we bring our heads and our hearts to being a trusted copilot, respectful challenger, and unwavering champion for each of our customers. Our strategic vision is to be the first in our industry to lead with bringing more and delivering outcomes as we work to become the world’s most customer-obsessed and employee-empowered services company. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days. Job Title: Analytics Engineer - Consultant or Senior Consultant - Vacant Role What You’ll 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 What You’ll Bring 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 Strong problem-solving skills and the ability to translate business needs into technical solutions Fluency in white-boarding 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 About Us 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 partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days. Hybrid/In office: We are hybrid but there are expectations that if your team leader or client requires you onsite that you are able to meet those expectations/requirements Slalom is committed to fair and equitable compensation practices. For this position, the expected base salary pay ranges for Consultant is $100,000 to $115,000 and for Senior Consultant is $115,000 - $130,000. In addition, there is potential for a 8 - 10% discretionary bonus based on individual and company performance. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors. 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.

What you’ll do

Requirements

Requires 3–5 years of experience in analytics engineering, data engineering, or a related field, with proficiency in SQL and/or Python and familiarity with semantic-layer tools and analytics platforms. Candidates should understand data modeling, ETL, and analytics solution design, and be able to translate business needs into technical solutions through strong problem-solving, communication, collaboration, and design skills.