Landmark Group
Product Analyst
Landmark GroupUnited Arab Emirates17 hours ago
Full-timeRemote FriendlyEngineering, Analyst

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 elevate product discovery and conversion through data insights across search, browse, and merchandising journeys. The role focuses on improving product relevance, ranking algorithms, and visual merchandising to ensure optimal user experience and sales performance.

Critique, contextualize & communicate data insights to provide actionable recommendations. Answer not only the ‘what’ but also the ‘why’, ‘so what’ & ‘now what’.


Job Description

The Product Analyst – Search & Merch will measure and optimize how customers find and engage with products. You will analyze search queries, CTRs, product placements, and recommendations to improve visibility, accuracy, and conversion.


Key Responsibilities

  • Monitor search and merchandising KPIs (CTR, zero-results rate, add-to-cart, etc.).
  • Analyze search behavior, query performance, and ranking outcomes.
  • Identify improvement areas for recommendation engines and filters.
  • Collaborate with Product & Tech to refine search algorithms and personalization logic.
  • Evaluate impact of visual merchandising and homepage curation on engagement.
  • Build dashboards tracking keyword trends, placement effectiveness, and category mix.
  • Partner with business and UX teams to design experiments improving discoverability.


Knowledge, Skills & Experience


Job Experience

  • 4–7 years in ecommerce analytics, SEO, or search optimization roles.
  • Experience with product discovery systems, recommendations, and personalization models.
  • Strong grasp of ecommerce search optimization principles.
  • Understanding of merchandising logic, taxonomy, and product tagging.
  • Ability to translate data into design and content recommendations.
  • Cross-functional exposure to Product, Tech, and Business teams.


Required Skills

  • Search performance analytics
  • Product recommendation & ranking analysis
  • Merchandising data tracking & reporting
  • A/B testing & experimentation
  • Language Proficiency in SQL, Python
  • Visualization Tools: Looker, PowerBI
  • Experience with Google Analytics, Amplitude/Mixpanel

Key Skills

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