Analytics Manager

RedolentSan Bruno, CA
Onsite

About The Position

We are urgently looking for an Analytics Manager for our Direct client requirement. This role involves leading strategy, reporting, and management of inventory, pricing, and yield, working in collaboration with cross-functional teams in Sales and Operations. The ideal candidate will have great communication skills and the ability to work with cross-functional teams, including both business and technical stakeholders. This role will drive analyses to improve the technical and quantitative understanding of advertising & merchandising across Walmart digital properties. The candidate will be excellent at handling large and complex data sets, aggregating web, ads, & eCommerce analytics retrieved through automation via raw data logs, and communicating summaries to leadership in a near real-time environment. Responsibilities include A/B testing variations on messaging or features, measuring the effectiveness of recommendations, and performing analytical deep-dives to resolve problems or identify opportunities. The role requires working cross-functionally with sales, product, product marketing, and engineering on optimization opportunities and insights. The goal is to provide insights that increase growth, drive advertiser & user engagement, and see beyond the numbers to drive the advertising business. The candidate will make recommendations and help guide product and business decisions based on marketplace analyses and an understanding of network dynamics and long-term strategy.

Requirements

  • 6+ years of quantitative or statistical analysis experience
  • Bachelor's degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, or Economics, or Finance)
  • Demonstrated problem solving with experience providing business insights from large data sets
  • Experience with data manipulation utilizing Hive and/or SQL
  • Experience with data visualization like Tableau
  • Experience with statistical analysis, either R or Python.
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Must be able to work effectively both on teams as well as be Self-motivated, task oriented and organized.
  • Ability to learn and adapt quickly in a dynamic environment.
  • Ability to work with deadlines and in a fast paced environment.

Nice To Haves

  • Prefer a background in Marketing, Advertising, Merchandizing, and/or Retail
  • Experience managing multiple concurrent projects and driving initiatives in a cross-functional environment
  • Exceptional collaboration & leadership skills.
  • Comfort working with and managing sizable teams in fast paced environment.
  • Ability to learn and adapt quickly in a dynamic environment
  • Programming/scripting experience a must (SQL, R, Python)
  • Experience in data engineering and building large scale data infrastructure using Hadoop, Teradata, Scala, a big plus along with data visualization (e.g. Domo, Looker, Thoughtspot, Tableau)
  • Deep expertise in advertising platforms and/or the ad tech industry preferred, such as DFP and front-end sales systems such as Salesforce.
  • Experience with publisher digital yield tools is a plus.
  • Web and marketing analytics skills (e.g, Adobe Analytics, Google Analytics) are preferred

Responsibilities

  • Leads Strategy, Reporting, Management of Inventory, Pricing, & Yield working in collaboration with cross-functional teams in Sales and Operations.
  • Drive analyses to improve technical and quantitative understanding of advertising & merchandising across Walmart digital properties.
  • Aggregate Web, Ads, & eCommerce Analytics retrieved through automation via raw data logs and communicate summary to leadership in near real-time environment.
  • A/B Test: Test variations on messaging or features.
  • Measure effectiveness of recommendations and perform analytical deep-dives to resolve problems or identify opportunities.
  • Work cross-functionally with sales, product, product marketing, and engineering on optimization opportunities and insights.
  • Provide insights with the goal of increasing growth, driving advertiser & user engagement to see beyond the numbers to drive the advertising business.
  • Make recommendations and help guide product and business decisions based on marketplace analyses and an understanding of network dynamics and long-term strategy.
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