Forward - Senior Data Analyst, Advanced Analytics & Data Science
- Compensation
- Not disclosed
- Location
- Toronto, Ontario
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data science
- Posted
Skills
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.
Full description
The Opportunity
ShyftLabs is a fast-growing data and technology company partnering with Fortune 500 organizations to deliver innovative, data-driven solutions. We help enterprise clients solve complex business challenges through modern data platforms, cloud technologies, artificial intelligence, and scalable software engineering.
We are seeking an experienced Senior Data Analyst, Advanced Analytics & Data Science to support Retail Media Network (RMN) initiatives for one of our enterprise clients. In this client-facing role, you will leverage advanced analytics, statistical modeling, and data science techniques to evaluate advertising performance, uncover actionable business insights, and support strategic decision-making.
You will work closely with business stakeholders and cross-functional technical teams to develop scalable analytical solutions, build stakeholder-ready dashboards, optimize campaign measurement, and identify opportunities for growth. The ideal candidate combines strong technical expertise in SQL, Python, and business intelligence tools with the ability to translate complex data into clear, actionable recommendations.
What You'll Be Doing
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Conduct advanced data analysis, exploratory data analysis, statistical modeling, and hypothesis testing to identify trends, performance drivers, and actionable business insights.
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Analyze Retail Media Network (RMN) campaign performance, attribution, return on ad spend (ROAS), and incrementality to evaluate advertising effectiveness and identify optimization opportunities.
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Develop and implement predictive models, forecasting methodologies, customer and campaign segmentation, and machine learning solutions to address business challenges.
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Design, build, and maintain interactive dashboards, analytical data models, and scalable reporting solutions using Tableau, Looker, or comparable business intelligence platforms.
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Leverage SQL, Google BigQuery, and Python to extract, transform, analyze, and validate large datasets, ensuring analytical outputs are accurate, reliable, and scalable.
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Apply statistical and data science methodologies to measure campaign effectiveness, evaluate performance drivers, and support advertising measurement and optimization strategies.
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Automate recurring reports, analytical workflows, data validation processes, and other manual activities to improve operational efficiency and scalability.
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Partner with client stakeholders and cross-functional teams to understand business requirements, define analytical approaches, and deliver data-driven recommendations.