Job Description

Has capacity to manage work related to the modulars:

• demand clustering information and overlays (velocity, regional, distribution center, etc.)
• accuracy or usability on the build recommendation of demand-based cluster
• build modulars (displaying logic for build) based on merchant approved Walmart data
• make modular recommendations including measurement metrics (pack & , days of supply, highlights, etc.)
• accuracy or usability on the build / recommendation of the modular
• assortment recommendations by cluster/footage
• modular / traits in a timely manner for project stores

Maintains the goal for content quality score providing recommendations based on the insights in Item 360 and the product-type style guides:

• product name
• short description
• long description
• imagery
• required attributes
• recommended attributes, shelf description, prints on a flag or other needed identifiers

Prepares Omni Category reporting on key category metrics:

• US economic snapshot (savings, jobs, interest rates, gas prices, unemployment, housing, wage growth, inflation)
• customer spending comfort (sentiment)
• digital household dollar penetration
• sales performance
• share, trends, gaps
• value (quality, familiarity, longevity, effort, price)
• order discounts/deals
• assortment adds/deletes/position changes
• pre and post modular analysis

Prepares Omni Item Analysis reporting on key item metrics on a timely basis:

• Sales performance
• New item performance
• Units / inventory positionShare, trends, assortment gaps
• Item attribution store and on-line enrichment
• Ad Hoc current happenings in business

Prepare Omni Competitive Analysis reporting on key competitive metrics:

• Identify competitors in market
• Competitor space analysis
• Evaluation of social media engagement
• Competitors customer review
• Pricing insights
• Evaluation of competitive online segmentation, pinning and promotions

Prepare Omni Customer Analysis reporting on key customer metrics:

• Online reviews
• Competitor reviews
• Purchase activity data
• Customer feedback
• Social media
• Website media
• Customer service data
• Case studies and testimonials
• Behavior tree preparation and review to identify customers
• Primary, secondary, quantitative, and qualitative research

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