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What You'll Bring

• 4–7 years of professional experience in data analytics, business intelligence, advanced analytics, data science, or a related quantitative field, with demonstrated experience applying analytical techniques to business problems.
• Strong proficiency in SQL and Google BigQuery, including querying large datasets, performing data transformations, developing analytical models, and optimizing query performance.
• Hands-on experience with Python and analytical libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, or equivalent tools.
• Demonstrated experience with statistical analysis, exploratory data analysis, hypothesis testing, regression, forecasting, segmentation, and other advanced analytical techniques.
• Strong experience developing dashboards, visualizations, and reporting solutions using Tableau, Looker, or comparable business intelligence platforms.
• Experience applying analytics to business performance measurement, campaign effectiveness, marketing analytics, advertising measurement, or similar domains.
• Familiarity with advertising measurement concepts, including attribution, ROAS, incrementality, campaign optimization, and performance measurement, is highly desirable.
• Experience automating analytical workflows, recurring reporting, data validation, and manual processes using SQL, Python, or scripting tools.
• Strong understanding of data quality, metric definitions, data validation, analytical documentation, and data governance practices.
• Ability to translate complex business questions into structured analytical approaches and communicate findings through clear, actionable business recommendations.
• Demonstrated ownership of analytical projects, including the ability to independently manage multiple priorities, timelines, and deliverables in a fast-paced, cross-functional environment.
• Strong communication, collaboration, and stakeholder management skills, with the ability to work effectively in a client-facing environment.

Nice to Have

• Experience working with Retail Media Networks (RMNs), digital advertising, e-commerce analytics, or marketing measurement.
• Experience evaluating campaign incrementality and attribution methodologies to distinguish observed performance from true incremental impact.
• Familiarity with experimentation frameworks, A/B testing, causal inference, and measurement methodologies for assessing campaign effectiveness.
• Experience developing and deploying predictive models or machine learning solutions to support business forecasting, segmentation, and optimization.
• Experience working with large-scale cloud data platforms and modern analytical data environments.

Salary Range

• $150,000 - $160,000 (CAD)

Why You’ll Love Working at ShyftLabs

Hybrid Flexibility: 3 days per week in our downtown Toronto office.

Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.

Growth & Learning: Continuous learning opportunities and influence over technical direction.

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.