We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Lead / Senior Data Analyst for US DTC E-commerce Brand (Remote, SEA) at Paired. Paired is a global recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located.. About Our Clients. This position is ideal for someone who wants to grow from a senior analytics role into a broader data leadership position, working directly with executives while still remaining deeply connected to the analytics work that drives real business outcomes.. Our client is a growing direct-to-consumer e-commerce brand focused on delivering high-quality products and exceptional customer experiences. As the business continues to scale, the team is looking for a. Leaders in Data . to help drive data-informed decision making across marketing, product, retention, finance, supply chain, and customer experience.. This role goes beyond building dashboards or running reports. You will help establish the data foundations that guide company strategy; creating a single source of truth, defining the metrics that matter, and turning data into predictive insights that allow teams to operate proactively rather than reactively.. This is a high-impact role for someone who wants to grow into a true data leadership position while remaining hands-on with analytics.. Responsibilities. Growth & Marketing Analytics. Analyze CAC, LTV, conversion rates, retention, and campaign performance. Identify inefficiencies and recommend budget reallocation. Support marketing experiments (A/B testing, channel optimization). Data & Reporting. Build and maintain dashboards (Power BI, Tableau, Looker, etc.). Translate business questions into structured analysis. Automate recurring reporting and reduce manual work. Insights → Action. Move beyond reporting into clear recommendations. Highlight risks, opportunities, and performance drivers. Support leadership with weekly/monthly performance insights. Work with data to:. Clean and structure data. Align KPI definitions. Maintain a consistent reporting logic. Experience in data analytics, data science, or business intelligence, preferably within DTC, e-commerce, or consumer brands.. Strong SQL + at least one BI tool. Hands-on experience with: CAC / LTV / funnel metrics and marketing performance analysis. Experience supporting business decisions (not just reporting). Nice-to-Have. Exposure to experimentation (A/B testing). Basic predictive modeling (LTV, churn, forecasting). Experience working with marketing teams. Company Location: Philippines.