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SQL-Driven Marketing Analytics & Performance Optimization
Marketing Analytics / SQL / Performance Intelligence
Analyzed campaign engagement, category performance, and transaction-related metrics using SQL-based workflows, Tableau, and marketing dashboards to support data-driven growth decisions.
⭐ **Description**
Supported marketing performance analysis across Uber Eats Grocery & Retail seasonal initiatives, connecting campaign engagement data with retail purchasing behaviour and commercial performance.
Worked with SQL Query Builder, Tableau, and internal reporting dashboards to review campaign impressions, click-through rates, add-to-cart activity, orders, units per transaction, and category-level trends.
Compared seasonal campaign performance across markets and reporting periods to identify differences in customer engagement, promotional effectiveness, and product demand.
Supported retrospective analysis for major summer campaigns, including Canada Day and Fourth of July, evaluating landing-page engagement and broader category-level shopping trends.
Reviewed campaign performance alongside merchandising choices, CRM placements, and promotional messaging to identify potential optimization opportunities.
Translated analytical observations into reporting inputs and recommendations for future seasonal marketing planning.
⭐ **Strategic Impact**
✨ Supported performance measurement across reported Q3 activity generating 12.39M impressions and approximately 1.5K orders.
✨ Contributed analytical insights across campaign engagement, conversion-related activity, and transaction performance.
✨ Strengthened visibility into category-level shopping trends and seasonal consumer demand.
✨ Supported comparative analysis across US and Canadian campaign performance.
✨ Connected SQL-based reporting with practical merchandising and CRM recommendations.
✨ Contributed to campaign retrospectives and performance presentations.
✨ Supported more evidence-based decision-making for future growth campaigns.