Forward - Senior Data Analyst, Advanced Analytics & Data Science

What You'll Be Doing

- 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.

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)