Manager – Product Analytics - Fashion Ecommerce

Landmark Digital

Meet Landmark Digital – we’re part of the Landmark Group, one of the largest retail and hospitality organisations in the Middle East, North Africa and India. We’re guardians of the group’s digital arm which encompasses Enterprise and E-commerce Tech, Product Management, User Design, Omni Operations, Customer Experience, Loyalty, Content Production, Studio, Growth and MarTech, Finance and HR functions. With a futuristic outlook we strive to make the digital experience of our customers seamless.

Headquartered in Dubai, UAE, we’re currently driving the digital experience for eight industry-leading brands in eight geographies, and rapidly expanding our footprint across new territories and functions. Join us, and you’ll be part of the Middle East’s biggest bricks-to-clicks success story, that registers over 100% growth year-on-year.

Agile Work Culture

Within the digital function, you’ll be hands-on from day one, working in squads to make independent decisions and game-changing contributions that directly impact millions of customers. You’ll collaborate every day with teammates from 20+ nationalities, across Dubai, India, Europe and the US.

Space for Excellence

Landmark Digital has a dedicated and growing software development centre in Bangalore, India, where we incubate, design and optimise our products and experiences. We also offer the option to work remotely for certain key roles.

New Technologies to Play With

You’ll work with the latest in Enterprise and E-commerce tech, headless commerce, open source, microservices, Java Spring Boot and Spring Cloud, React Native iOS and Android apps, React frontend and a host of the latest cloud-native technologies hosted on Azure Cloud.

Focus on Learning & Growth

Excellent remuneration and perks are part of the package, but we also budget ample time and resources for training and upskilling.

Fun at Work

You’ll enjoy our well-equipped breakrooms (FIFA and pool are huge favourites), team events, celebrations and a host of other amenities.

Job Purpose

To drive the Fashion ecommerce business through data-led insights that improve customer journey, category performance, and conversion rates. The role focuses on decoding how customers browse, engage, and purchase across the fashion ecosystem — from new arrivals to checkout — to build a seamless and personalized experience that fuels growth.

Job Description

The Product Analyst – Fashion will act as a key business partner for the home division. You will assess navigation and discovery paths, filter and sort performance, and visual merchandising efficiency to inform strategic decisions for category growth. Your insights will guide roadmap planning, UX enhancements, and assortment prioritization.

Key Responsibilities

• Analyze end-to-end customer journeys for fashion categories across web and app
• Identify conversion gaps in category pages, PDPs, and checkout flows; propose optimization experiments
• Partner with Product Managers and Business teams to design metrics for new features (filters, recommendations, etc.)
• Build and automate dashboards to track KPIs like traffic, add-to-cart rate, and sell-through
• Perform A/B testing and derive insights to drive higher CTRs and conversions
• Collaborate with UX and marketing to align personalization, visual hierarchy, and content strategies
• Present findings to senior stakeholders through clear data storytelling
• Strong understanding of fashion ecommerce trends, funnel metrics, and category merchandising
• Skilled in consumer behavior analytics, segmentation, and competitor benchmarking
• Comfort with large datasets, hypothesis testing, and growth experimentation
  
  

Knowledge, Skills & Experience

Job Experience

• 4–7 years in product or ecommerce analytics, preferably in fashion, apparel, or lifestyle domains
• Demonstrated impact on revenue or conversion improvement through insights
• Experience in working cross-functionally with design, product, and category teams
  
  

Required Skills

• Funnel analysis & optimization
• Category/assortment analytics
• Clickstream & heatmap analysis
• Cohort and behavioral segmentation
• Strong collaboration & data storytelling
  
  

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