Crossing Hurdles

Retail Data Analyst | $60/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Retail Data Analyst with a part-time commitment, paying $40-$60/hr. It requires professional experience in e-commerce, strong analytical skills, and an academic background in relevant fields. The position is fully remote.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
March 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Data Analysis #Statistics #AI (Artificial Intelligence) #Forecasting #Quality Assurance #Data Conversion #Sales Forecasting
Role description
Position: E-Commerce Evaluators Type: Hourly contract Compensation: $40-$60 per hour Commitment: Part-time weekly commitment Location: Remote Role Responsibilities • Assess the accuracy, relevance, and clarity of insights regarding product assortment, pricing strategies, and promotional performance. • Verify inventory metrics, sales performance data, and customer behaviour statistics using credible public sources. • Identify inconsistencies in marketplace performance analysis, operational reporting, and sales forecasting. • Maintain consistency and attention to detail when reviewing analytical outputs. • Document evaluation outcomes clearly to support improvement of AI-generated reports. • Work independently to complete assigned review tasks within project timelines. • Contribute to quality assurance processes that strengthen dataset accuracy and model outputs. Requirements • Professional experience in e-commerce, online retail operations, sales operations, marketing analytics, or retail analytics. • Strong understanding of online marketplace dynamics, pricing strategies, and performance optimisation. • Experience working with product catalogues, inventory systems, or supply chain coordination. • Ability to analyse customer behaviour data, conversion metrics, and sales performance indicators. • Experience validating statistics and industry benchmarks from reliable public sources. • Strong analytical thinking and attention to detail when reviewing reports. • Academic background in business, marketing, operations management, supply chain, e-commerce, data analytics, or a related field. Application Process • Upload resume • Interview • Submit form