Senior Analytics Engineer

Senior Analytics Engineer

Toronto, Ontario

Analytics /

Full-Time / Hybrid

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're growing fast and we're looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.

The Opportunity

We're looking for a Senior Analytics Engineer who can bring clarity to complexity, own execution end-to-end, and help shape scalable data solutions that power our clients' next generation of digital experiences. In this role, you'll work closely with cross-functional teams and clients, architect high-impact data solutions, and contribute directly to AI-driven and analytics-focused product initiatives. This role is ideal for someone who is equal parts thinker and doer, a hands-on technical leader who thrives in ambiguous environments and takes full ownership of deliverables.

What You'll Do

• Lead the design, development, and deployment of scalable analytics solutions and data models.
• Proactively navigate ambiguity by breaking down problems, proposing structured solution options, and driving clarity with stakeholders.
• Formulate, compare, and present multiple technical approaches, guiding clients and internal teams toward the best path forward.
• Architect and build high-quality data pipelines and analytics layers that support insights, reporting, and machine learning use cases.
• Collaborate directly with clients to understand challenges, translate them into actionable technical requirements, and communicate progress effectively.
• Lead, mentor, and collaborate with cross-functional team members including DAs, DEs, ML Engineers, and FE/BE developers.
• Contribute to the development of internal data products, accelerators, and AI-powered solutions.

What You Bring

• Expert proficiency in SQL and Python with the ability to solve complex data logic and optimization problems.
• Strong foundation in machine learning, statistics, and applied mathematics.
• Demonstrated experience working on AI initiatives and data products.
• Working knowledge of major cloud platforms (AWS, GCP, or Azure).
• Experience architecting end-to-end data solutions and working directly with clients or business stakeholders.
• Ability to work independently with full ownership and accountability.
• Proven track record of navigating ambiguity with a proactive, problem-solving mindset.
• Experience leading or collaborating with diverse technical teams.
• Previous experience in a data- or ML-focused company or project (required).

Nice to Have

• Experience with modern data stack tools (dbt, Snowflake, Databricks, BigQuery).
• Exposure to data governance, observability, or MLOps.
• Experience building internal tools or accelerators.

At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us. Here's what you can expect when you join our team:

-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.

-Downtown Toronto Office: Work in the heart of the city.

-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.

-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.

Inclusion at ShyftLabs

We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together. ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.