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Role Overview
The Retail Media Post-Campaign Reporting Analyst is responsible for generating insightful, data-driven reports for retail media digital campaigns across multiple channels and platforms. This role combines technical analytics expertise with a strong understanding of retail media performance and audience analytics, helping commercial and sales teams evaluate campaign effectiveness and optimize future media investments.
Key Responsibilities
Develop and automate post-campaign reports for retail media campaigns across onsite, offsite, and in-store channels.
Pull, clean, and analyze large datasets from multiple sources including Snowflake, Google Cloud Platform (GCP), and reporting APIs (e.g., Meta, DV360, GA4).
Build, maintain, and enhance data workflows and dashboards in Python (pandas, NumPy, matplotlib), SQL, and BI tools (Tableau, Power BI, or Datorama).
Partner with Sales, Ad Operations, and Data Engineering teams to align on campaign KPIs, reporting requirements, and delivery timelines.
Provide clear visualizations and commentary on campaign performance, including audience analytics, impressions, reach, conversions, sales lift, and ROAS.
Collaborate with internal stakeholders to standardize campaign reporting templates and ensure consistent measurement across clients and categories.
Conduct quality assurance and data validation to ensure accuracy of reported metrics.
Support the development of scalable reporting automation and analytics infrastructure.
Qualifications & Skills
Proficiency in Python, SQL, and advanced Excel for data manipulation and analysis.
Experience with cloud data platforms (Snowflake, GCP) and BI tools (Tableau, Power BI, or Datorama).
Familiarity with digital media and audience analytics across Meta, DV360, and GA4.
Strong analytical and storytelling skills with attention to accuracy and detail.
Proven ability to collaborate effectively with cross-functional business and technical teams.
Preferred Background
Degree in Mathematics, Computer Science, Data Analytics, or a related field.
AWS or GCP certifications in data analytics or cloud engineering are considered an asset.
2+ years of experience in analytics, media reporting, or retail media measurement.
Experience working with retail or consumer packaged goods (CPG) datasets is an advantage.
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