Forward - Senior Data Analyst, Advanced Analytics & Data Science

Your tasks

• Conduct advanced data analysis, exploratory data analysis, statistical modeling, and hypothesis testing to identify trends, performance drivers, and actionable business insights.
• Analyze Retail Media Network (RMN) campaign performance, attribution, return on ad spend (ROAS), and incrementality to evaluate advertising effectiveness and identify optimization opportunities.
• Develop and implement predictive models, forecasting methodologies, customer and campaign segmentation, and machine learning solutions to address business challenges.
• Design, build, and maintain interactive dashboards, analytical data models, and scalable reporting solutions using Tableau, Looker, or comparable business intelligence platforms.
• Leverage SQL, Google BigQuery, and Python to extract, transform, analyze, and validate large datasets, ensuring analytical outputs are accurate, reliable, and scalable.
• Apply statistical and data science methodologies to measure campaign effectiveness, evaluate performance drivers, and support advertising measurement and optimization strategies.
• Automate recurring reports, analytical workflows, data validation processes, and other manual activities to improve operational efficiency and scalability.
• Partner with client stakeholders and cross-functional teams to understand business requirements, define analytical approaches, and deliver data-driven recommendations.
• Translate complex analytical findings into clear insights, visualizations, and presentations for both technical and non-technical audiences.
• Manage analytical projects from discovery through delivery, proactively coordinating timelines, dependencies, risks, and deliverables.
• Identify opportunities to improve analytical methodologies, reporting processes, experimentation, and predictive capabilities through continuous innovation.
• Maintain comprehensive documentation of analytical methodologies, data definitions, business logic, and reporting processes to support consistency, transparency, and governance.
• Provide guidance and mentorship to junior analysts, promoting best practices in data analysis, statistical modeling, reporting, and stakeholder communication.

Requirements

• 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.

• 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.

What we offer

• $150,000 - $160,000 (CAD)