Manager, Data Analytics

Walmart Walmart · Retail · Sunnyvale, CA

Manager of Data Analytics at Walmart, focusing on dynamic pricing strategies. This role involves leading analytics projects, developing and implementing pricing models, integrating ML models for price adjustments, and analyzing A/B tests. The position requires expertise in SQL, Python, data ingestion, transformation, and building ETL pipelines. The goal is to optimize pricing, minimize fluctuations, and improve recommendations based on customer behavior, competitor data, and business objectives.

What you'd actually do

  1. Leads medium and participates in large data analytics project teams and manages long-term, complex analytic projects by serving as a technical lead for analytics projects
  2. Presents data insights and recommendations to key stakeholders by consulting with internal organizations
  3. Provides data-based analysis and insights to drive investigative analytics strategy
  4. Develops business intelligence solutions with customers and other system areas
  5. Experience automating critical pricing workflows using SQL and Python, including data ingestion, transformation, and pricing model execution.

Skills

Required

  • SQL
  • Python
  • data ingestion
  • data transformation
  • pricing model execution
  • advanced SQL techniques
  • data anomaly detection models
  • business models
  • pricing strategies
  • Tableau dashboards
  • dynamic pricing algorithms
  • machine learning models
  • SQL code
  • competitor pricing data
  • web scraping
  • syndicated feeds
  • pricing logic
  • price elasticity
  • customer behavior patterns
  • strategic pricing models
  • seasonal and promotional pricing strategies
  • ETL pipelines
  • A/B pricing tests

Nice to have

  • mathematics
  • engineering
  • economics
  • computer science

What the JD emphasized

  • Experience automating critical pricing workflows using SQL and Python, including data ingestion, transformation, and pricing model execution.
  • Experience developing reusable scripts that improve operational efficiency and reduce manual intervention.
  • Experience utilizing advanced SQL techniques to query, manipulate, and aggregate massive datasets from Walmart’s enterprise data infrastructure.
  • Experience scaling data anomaly detection models across multiple business units and developing effective pricing strategies.
  • Experience developing business models to minimize impact of pricing fluctuations with Data science team for various business models and improve pricing recommendations.
  • Experience designing and maintaining Tableau dashboards that track pricing trends, key performance indicators (KPIs), and competitive benchmarks.
  • Experience providing regular performance updates to leadership, highlighting the impact of pricing strategies, experiment results, and market trends.
  • Experience strategizing, implementing dynamic pricing algorithms and implementing it with data science and engineering teams.
  • Experience integrating machine learning models that adjust prices based on customer demand, competitor behavior, and business objectives.
  • Experience writing performant, scalable SQL code to work with extremely large datasets involving billions of records.
  • Experience ensuring price consistency and accuracy across SKUs, platforms (mobile, desktop, app), and fulfillment methods.
  • Experience monitoring competitor pricing data sourced from web scraping and syndicated feeds.
  • Experience working closely with engineers to integrate pricing logic into production systems, ensuring end-to-end traceability and real-time execution.
  • Experience testing and validating deployment of pricing tools in live environments.
  • Experience analyzing price elasticity and customer behavior patterns to predict the impact of price changes on conversion, traffic, and margin.
  • Experience incorporating findings into strategic pricing models and rules.
  • Experience supporting seasonal and promotional pricing strategies by analyzing historical data, forecasting demand, and developing tailored pricing rules.
  • Experience building and maintaining ETL pipelines to support pricing data flows from ingestion to reporting.
  • Experience leading and analyzing A/B pricing tests to evaluate the effect of experimental pricing strategies.
  • Experience measuring changes in customer behavior, profitability, and competitive positioning.

Other signals

  • integrating machine learning models
  • dynamic pricing algorithms
  • data anomaly detection models
  • big data modeling