(usa) Manager, Data Analytics

Walmart Walmart · Retail · San Bruno, CA +1

Manager, Data Analytics role focused on building and maintaining data pipelines for operational intelligence and business analysis within Walmart Connect. The role involves leveraging GenAI for automation, implementing anomaly detection, and championing engineering best practices. It requires strong SQL, Python, GCP, and data pipeline experience.

What you'd actually do

  1. Drive Operational Intelligence, Efficiency, and Business Analysis by providing high-quality, reliable data that powers insights across Walmart Connect, with a focus on operational KPIs and scalable data frameworks.
  2. Build, own, and maintain robust, end-to-end data pipeline infrastructure with a focus on reliability, observability, and scalability that serves as the source of truth for operational intelligence data.
  3. Merge and join various data sources and develop/optimize complex queries and scripts to create aggregated tables and views for statistical analysis and reporting.
  4. Automate business review decks and reporting processes, leveraging GenAI and other automation tools to provide the data and insights behind business reviews.
  5. Collaborate with cross-functional teams (operations, product, sales) to improve operational KPIs for Walmart Connect through best practices in data capture, storage, retrieval, and quality.

Skills

Required

  • SQL
  • Python
  • GCP
  • Git/GitHub
  • Airflow
  • VS Code
  • data pipeline infrastructure
  • data analysis
  • Google BigQuery
  • Hive
  • Oracle SQL

Nice to have

  • Media analytics experience
  • Ad network/Ad exchange/DSP/SSP/Publisher knowledge
  • Tableau
  • Looker
  • CRM
  • AdTech systems
  • Salesforce
  • Google Ads Manager
  • communication
  • presentation
  • influencing
  • driving action

What the JD emphasized

  • GenAI
  • automation tools
  • anomaly detection mechanisms

Other signals

  • Drive Operational Intelligence, Efficiency, and Business Analysis
  • Build, own, and maintain robust, end-to-end data pipeline infrastructure
  • Automate business review decks and reporting processes, leveraging GenAI and other automation tools
  • Implement intelligent alerting and anomaly detection mechanisms
  • Champion engineering discipline by establishing clean code practices, version control (Git/GitHub), and collaborative code reviews (PRs)