Manager, Advanced Analytics

Role Based in Troy

Position Snapshot

• OPENING in Troy: Part-Time Manager, Advanced Analytics
• Hiring: Walmart
• Worksite: Troy Area
• Experience: Some prior experience preferred.
• Work in Troy, NY.
• Join Walmart and grow your skills.

Compensation

• Pay Rate:
• Perks: Employee discounts.
• Work around your school/life schedule.

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What you'll do...\nPosition: Manager, Advanced Analytics\nJob Location: 850 Cherry Avenue, San Bruno, CA 94066\nDuties: Improve Walmart Marketplace Marketing's success metrics, CVR (Conversion rate), and ROAS (Return on Ad Spend) by analyzing campaign performance across various marketing paid channels. Build and design AOP (Annual Operations Plan) for Marketplace for KPIs like GMV (Gross Merchandi\n...\nse Value), AOV (Average Order Value), Traffic, CVR, and Orders. Design and measure A/B tests across various SEM and DPS campaigns to understand the lift in traffic and RPV generated by various initiatives leading to data driven budget allocation across paid channels. Build predictive machine learning frameworks to understand customer behavior using algorithms like linear regression and logistic regression to predict future daily trends of KPIs such as GMV, CVR, and AOV. Leverage SQL language in platforms such as BigQuery, Hive, Presto, and Hadoop to determine, formulate, and track business objectives/performance metrics that require statistical analysis. Inform marketing strategies and business development opportunities by identifying issues, hypotheses testing, executing the analysis, and translating data into meaningful insights and actions. Understand the business case questions that will help marketers to better target audiences for their digital marketing campaigns. Implement root cause analysis of variations in performance for different categories and channel. Guide projects to ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans, and operational processes that drive visibility and accountability with Marketing & Analytics stakeholders. Identify gaps and opportunities for improving exis