Senior Manager, Marketing Analytics (Advanced & D...

Senior Manager, Marketing Analytics (Advanced & Data Science)

What you'll do at

**Position can be located in San Bruno, CA; Hoboken, NJ or Bentonville, AR.

As the Senior Manager, Marketing Analytics – Advanced Analytics & Data Science, you will create and lead the development of world-class analytics to evaluate the effectiveness and efficiency of our marketing in order to drive aggregate performance for You will be responsible for building out a holistic view of performance as well as a detailed analytics roadmap by leveraging state of the art analytics tools (i.e. SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughSpot/Looker, etc.). Key projects include Attribution, Experimentation, and Optimization.

This role is highly visible since it must work cross functionally along with Category Marketing, Channel Marketing, Product Management, and IT and is charged with identifying areas of opportunity to drive revenue through data-driven best practices. Given the size and scale of marketing at this position will have significant impact across the organization.


• Lead and develop the strategy for reporting, testing, analyzing, and forecasting business performance across key Product Categories and Marketing Channels.
• Identify and provide both tactical ad hoc insights and a strategic ongoing roadmap of deep analytics
• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
• Write advanced SQL queries to retrieve and analyze large quantities of data using Python, VBA and/or R.
• Lead Category Marketing analytics through advanced analytics techniques such as demand curve analysis, finding adjacent category cross-sell opportunities, analyzing media investment scenarios, etc. with the goal of helping the organization understand the best way to drive incremental sales
• Lead Marketing Channel analytics through advanced analytics techniques such as multi-touch attribution, marginal ROAS, experimentation, etc. with the goal of helping the organization understand the best way to drive incremental sales
• Participate in customer segmentation analysis, including acquisition and retention, CAC (Customer Acquisition Cost), and LTV (Lifetime Value) measurement
• Build tools and lead training to enable Marketers to adopt an analytical mindset for their daily business decisions.
• Partner with the Data Engineering & Measurement teams to define data architecture and in-house tool requirements, ensure complete tagging and tracking of assets and campaigns, and to design actionable testing scenarios.
• Partner with other Data Scientists/Machine Learning Experts to develop AI techniques to optimize business performance.

Minimum Qualifications

• Bachelor s degree in Business, Finance, Accounting, Statistics, or related field and 3 years' experience in data analytics or related field OR 5 years' experience in data analytics or related field.
• 2+ years of experience leading cross functional teams and influencing Marketing, Finance, Business Ops and Engineering.

Other Requirements:
• Proficient SQL programming skills with an understanding of database capabilities, scripting languages such as Python and R, and experience of integrating, structuring, and analyzing large amounts of data from diverse sources.
• Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions
• Experience with statistical concepts and knowledge of Test/Control methodologies
• Expert level understanding of Microsoft Office suite especially Excel and PowerPoint
• Strong analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes
• Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter.
• You can communicate technical material to a range of audiences and to ‘tell a story’ that provides insight into the business
• You embrace tackling complex problems with a high degree of ambiguity.
• Able to travel 10-20% of the time to our offices in New Jersey and Arkansas

Preferred Qualifications

• Master's degree in Statistics, Information Systems, Business Administration, or related field
• Background in Digital Marketing Analytics, Retail and/or eCommerce
• Experience with A/B and Multivariate test design and implementation
• Working knowledge of Digital Marketing Channels (at least CPC Paid Search and Programmatic Display). Preference will be given to candidates with experience optimizing paid media channels through advanced Marketing and Ad Technology (i.e. Marin, Kenshoo, Google DoubleClick & Adwords, etc.)
• Experience using an enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
• Working understanding of attribution and the differences between rules-based last click attribution versus algorithmic multi-touch attribution. Additionally, experience with Media Mix Modeling is a plus.
• You have a passion for working in a fast-paced agile environment.


The Walmart US eCommerce team is rapidly innovating to evolve and define the future state of shopping. As the world’s largest retailer, we are on a mission to help people save money and live better. With the help of some of the brightest minds in merchandising, marketing, supply chain, talent and more, we are reimaging the intersection of digital and physical shopping to help achieve that mission.

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All the benefits you need for you and your family

  • Multiple health plan options
  • Vision & dental plans for you & dependents
  • Associate discounts in-store and online
  • Financial benefits including 401(k), stock purchase plans and more
  • Education assistance for Associate and dependents

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