Job Description

Manager, Marketing Analytics – Category Analytics

STATUS: Full Time

REPORTS TO: Sr. Director, Marketing Analytics – Business Intelligence

LOCATION: San Bruno, CA or Hoboken, NJ (preferred) or Bentonville, AR

TEAM SUMMARY:

The Marketing Analytics team helps drive business strategy by synthesizing performance metrics into actionable insights across key product categories and marketing channels. The team sits within Digital Marketing which is part of the US Walmart.com organization. The Business Intelligence function within Marketing Analytics supports both Category Marketing (Entertainment, Everyday Living, Home, Fashion, Enthusiast & Professional, & Online Grocery) as well as Channel Marketing (Email/Push, Paid Search, Organic Search, Display, Affiliates, Social, Mobile, Video and other new and emerging channels). Marketing Analytics is a new high growth team that is being built to help accelerate Walmart’s aggressive online eCommerce goals.

ROLE:

As the Manager, Marketing Analytics – Category Analytics, 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 Walmart.com. 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/ThoughtSpot/Looker, etc.). Key projects include Attribution, Experimentation, and Optimization. This role is highly visible since it must work collaboratively with the US Category Marketing team. You will be charged with identifying areas of opportunity to drive revenue through data-driven best practices. Given the size and scale of marketing at Walmart.com this position will have significant impact across the organization.

RESPONSIBILITIES:

• 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
• 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 Data Science/Machine Learning Team to develop AI techniques to optimize business performance.

MINIMUM QUALIFICATIONS:

• BA/BS in Business, Marketing, Mathematics, Statistics or related field (or equivalent experience)
• 5+ years of experience in data analysis or an analytical capacity
• 1+ years of experience in Marketing Analytics, Digital Analytics, or Customer Relationship Management (CRM)
• 1+ years of experience leading cross functional teams and influencing Marketing, Finance, Business Ops and Engineering.

• Proficient SQL programming skills with an understanding of database capabilities 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.
• Travel opportunities to San Bruno, CA (Walmart.com), Hoboken, NJ (Jet.com) and Bentonville, AR (Walmart, Inc.)

PREFERRED QUALIFICATIONS:

• MBA or Master’s Degree in Mathematics, Statistics or a related technical field
• Background in Digital Marketing Analytics, Retail and/or eCommerce
• Experience with A/B and Multivariate test design and implementation
• Retail and/or eCommerce industry experience in a heavily data-driven environment preferred
• 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.)
• Preference will be given to candidates with a 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.

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