Analytics Manager

Job Description

About the Role: We are seeking a data-driven and customer-obsessed Manager – Onsite Analytics to own the end-to-end analysis and optimization of user journeys across our eCommerce platform. This role will be responsible for shaping how we understand, measure, and improve onsite user engagement, with a laser focus on conversion-driving features — especially product sorting and boosting. You will lead the development of our product ranking algorithms from the ground up, but also extend your impact to broader onsite behavioral analytics — covering search, navigation, merchandising, content placement, and performance metrics across key funnel stages. Key Responsibilities: Onsite Analytics Ownership Build and own the onsite analytics strategy across homepage, PLPs (product listing pages), PDPs, and other core surfaces. Define and monitor KPIs (CTR, CVR, scroll depth, bounce rate, engagement score, exit paths, etc.) that quantify user experience and commercial success. Create dashboards, deep-dive reports, and insights to drive decision-making across product, growth, and merchandising teams. Identify bottlenecks in user journeys and propose actionable hypotheses for conversion uplift. ⚙️ Product Sorting & Boosting Algorithm Development Design and implement a flexible, scalable product sorting and boosting engine tailored for both global and category-specific needs. Model relevance, popularity, availability, freshness, and business priorities into sorting logic using data-driven approaches. Run controlled experiments (A/B tests) to evaluate algorithmic changes and continuously improve engagement and conversion rates. 🤝 Cross-functional Partnership Collaborate with data science, engineering, product, UX, and category teams to improve user experience and content discoverability. Act as the go-to person for onsite behavioral understanding and help teams prioritize experiments based on high-impact opportunities. 🔍 Experimentation & Personalization Lead A/B and multivariate testing across sorting, layout, and navigation modules. Partner with personalization teams to segment and target user experiences intelligently. Requirements 4–8 years of experience in product analytics, growth strategy, algorithmic merchandising, or eCommerce performance optimization. Proven track record in using data to influence onsite product decisions and user-facing algorithms. Strong analytical skills with expertise in SQL, Python/R, and BI tools (e.g., Looker, Tableau). Experience designing ranking or personalization systems is highly preferred. Deep understanding of user funnel metrics and eCommerce KPIs. Strong communication and project management skills with cross-functional teams. Preferred Qualifications Experience building or managing algorithmic systems in a large-scale consumer product. Familiarity with platforms like Algolia, Elasticsearch, or proprietary ranking frameworks. Understanding of UI/UX implications of sorting logic on user behavior. Ability to balance precision with business objectives (e.g., revenue, visibility, seller fairness). Why Join Us? Own one of the highest-leverage components of an eCommerce growth engine. Build from scratch — but with the support of a mature data ecosystem. See the direct impact of your work on user satisfaction, revenue, and business outcomes. Work with a collaborative, forward-thinking team that values innovation and user empathy. Show more Show less