Product Analyst
Role Overview
Drive ecommerce performance through data-led insights across the customer journey, from discovery and search to browsing, product pages, cart, and checkout.
Help the Product team improve seamless, personalized, high-converting web and app experiences.
Translate data into actionable recommendations that explain what happened, why, and what to do next.
Key Skills for This Role
Full Job Posting
About Landmark Digital
Landmark Digital is the digital arm of Landmark Group, supporting its omnichannel retail business.
The organization builds and scales digital products, platforms, and experiences across multiple markets.
Its teams work across enterprise and ecommerce technology, product management, user design, and marketing technology.
Role purpose
Drive ecommerce performance through data-led insights across the customer journey, from discovery and search to browsing, product pages, cart, and checkout.
Help the Product team improve seamless, personalized, high-converting web and app experiences.
Translate data into actionable recommendations that explain what happened, why, and what to do next.
Key responsibilities
- Analyze end-to-end customer journeys across web and app.
- Find conversion gaps across search, category pages, product detail pages, cart, and checkout; propose and prioritize experiments.
- Partner with Product, Business, UX, and Tech teams to define metrics for features such as filters, recommendations, personalization, and payment options.
- Build and automate KPI dashboards for traffic, add-to-cart rate, and sell-through.
- Design and run funnel A/B tests to improve click-through rates and conversions.
- Investigate drop-offs by device, platform, geography, and payment gateway, and recommend fixes.
- Use insights to inform roadmap planning, UX improvements, and feature prioritization.
Experience and skills
- 5–8 years in product or ecommerce analytics; fashion, apparel, or lifestyle experience is preferred.
- Demonstrated data-driven impact on revenue, conversion, or funnel efficiency.
- Cross-functional experience with Product, Design, Tech, Business or Category, and Operations teams.
- Strong understanding of ecommerce trends, funnel metrics, discovery, and checkout workflows.
- Experience with consumer behavior analytics, segmentation, cohorts, large datasets, hypothesis testing, and growth experimentation.
- Required skills include funnel optimization, clickstream and heatmap analysis, SQL, Python, Looker, Power BI, Google Analytics, and Amplitude or Mixpanel.
- Strong collaboration, experimentation design, and data storytelling skills.
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