Data Analyst, Fashion Industry

4 weeks ago


London, Greater London, United Kingdom ASOS Full time

Company Overview

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We're ASOS, a leading online retailer driving fashion trends globally. We strive to empower our customers with help and support throughout the hiring process.

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This role focuses on analyzing trade performance for ASOS product categories across all business units, generating data-driven insights to inform decision-making. You'll collaborate with product teams to develop and maintain commitment and OTB monitors, providing pre-season and in-season analysis packs at product category level.

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Key Responsibilities:

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  • \
  • Drive day-to-day analysis of trade performance for ASOS product categories.\
  • Produce data insight packs to support decision making.\
  • Work collaboratively with product teams to develop and maintain commitment and OTB monitors.\
  • Overlay performance analysis with customer data to support trade decision making.\
  • Incorporate channel team requirements into data packs.\
  • Analyze pricing data and provide recommendations.\
  • Provide end-to-end performance KPIs visibility.\
  • Ensure product category and price status-level visibility.\
  • Maintain Excel skills to an intermediate/advance level.\
  • Develop expertise in Power BI, dashboarding, and SQL.\
  • Possess commercial approach to data insights.\
  • Foster strong analytical thinking and problem-solving skills.\\/ul">

Educational Qualifications

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We seek candidates with:

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  1. \
  2. Commercial approach to data insights.\
  3. Experience in fashion merchandising and/or data insights.\
  4. Excel skills to an intermediate/advance level.\
  5. Proficiency in Power BI, dashboarding, and SQL.\
  6. Bonus points for experience with external price matching software.\\/ol":[500-600 words]

Salary Range

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The estimated annual salary for this position is £55,000 - £70,000 depending on experience.

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Benefits Package

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We offer a competitive benefits package, including: Employee discount scheme, ASOS Develops (personal development opportunities), Employee sample sales, LinkedIn learning materials access, 25 days paid annual leave + celebration day, discretionary bonus scheme, private medical care scheme, flexible benefits allowance.



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