Senior Data Analyst (Advanced Analytics & Data Science)

Location: Hybrid, 3 days per week in the downtown Toronto office, Canada

Salary: CAD 150,000–160,000 per year

Company

hirify.global is a data and technology company partnering with Fortune 500 organizations to deliver data-driven solutions using modern data platforms, cloud technologies, artificial intelligence, and scalable software engineering.

What you will do

• Conduct advanced data analysis, exploratory analysis, statistical modeling, hypothesis testing, forecasting, segmentation, and predictive modeling.
• Analyze Retail Media Network campaign performance, attribution, ROAS, incrementality, and other advertising effectiveness metrics.
• Build and maintain interactive dashboards, analytical data models, and scalable reporting solutions using Tableau, Looker, or comparable tools.
• Use SQL, Google BigQuery, and Python to transform, analyze, validate, and optimize large datasets.
• Automate recurring reports, analytical workflows, data validation, and manual processes while maintaining documentation and governance practices.
• Partner with client stakeholders and technical teams, manage analytical projects, present actionable findings, and mentor junior analysts.

Requirements

• 4–7 years of professional experience in data analytics, business intelligence, advanced analytics, data science, or a related quantitative field, applying analytical techniques to business problems.
• Strong proficiency in SQL and Google BigQuery, including large-dataset querying, transformations, analytical modeling, and query optimization.
• Hands-on Python experience with Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, or equivalent tools.
• 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 with Tableau, Looker, or comparable business intelligence platforms.
• Experience applying analytics to business performance measurement, campaign effectiveness, marketing analytics, advertising measurement, or similar domains.
• Experience automating analytical workflows, recurring reporting, data validation, and manual processes with SQL, Python, or scripting tools.
• Strong understanding of data quality, metric definitions, data validation, analytical documentation, and data governance.
• Ability to structure business questions analytically, communicate actionable recommendations, manage multiple priorities and deliverables, and collaborate effectively in a client-facing environment.

Nice to have

• Experience with Retail Media Networks, digital advertising, e-commerce analytics, or marketing measurement.
• Experience evaluating campaign incrementality and attribution methodologies.
• Familiarity with experimentation frameworks, A/B testing, causal inference, and campaign-effectiveness measurement.
• Experience developing and deploying predictive models or machine learning solutions for forecasting, segmentation, and optimization.
• Experience with large-scale cloud data platforms and modern analytical data environments.

Culture & Benefits

• Hybrid work with three days per week in the downtown Toronto office.
• Health, dental, and vision insurance fully covered for employees and dependents from day one.
• Continuous learning opportunities and influence over technical direction.
• Fast-growing, client-facing environment focused on data-driven solutions for enterprise organizations.