Data Engineer | SEO & Marketing Analytics
Join an AI first, high growth eCommerce company as a Senior SEO Data Analyst in a full-time, remote-friendly (U.S.-based) role. This company is redefining online shopping through intelligent personalization, AI driven search, and automated merchandising across a large-scale digital marketplace serving millions of users. Their modern data stack includes Databricks, PySpark, Tableau, Google Analytics, and cloud platforms like AWS/Google Cloud Platform, enabling real-time insights and machine learning-powered decision-making. This is an opportunity to sit at the center of AI, data, and revenue growth where your work directly influences how products are discovered, ranked, and purchased. The #1 feature here is your impact on AI driven growth systems: your analyses won't just inform decisions, they will shape the inputs powering recommendation engines and search algorithms. They're looking for someone who is both technical and curious someone who wants to go beyond dashboards and actively drive smarter, automated growth. In return, you'll gain hands on experience with cutting-edge AI applications, work closely with data science and product teams, and grow in a fast-paced environment that values innovation while maintaining strong work-life balance. Required Skills & Experience 5+ years of experience in data analysis within a large-scale, consumer-facing digital business (eCommerce preferred) 3+ years of experience with web analytics tools (Google Analytics, Google Search Console, etc.) 3+ years of experience building dashboards and reports in Tableau Strong proficiency in SQL and PySpark for large-scale data analysis Experience analyzing customer acquisition, SEO performance, and conversion funnels Experience supporting data-driven decision-making in cross-functional teams Strong communication skills with the ability to present insights clearly Desired Skills & Experience Experience with SEO tools such as seoClarity, Ahrefs, or SEMrush Familiarity with Databricks or similar big data platforms Exposure to machine learning concepts (recommendation systems, ranking models) Experience with A/B testing or experimentation frameworks Knowledge of eCommerce KPIs (conversion rate, AOV, LTV, cart abandonment) Experience working with product, engineering, or data science teams What You Will Be Doing Tech Breakdown 35% Data Analysis (SEO, customer behavior, growth insights) 25% Data Engineering (data pipelines, large-scale processing) 25% AI/ML Support (feature analysis, experimentation, model inputs) 15% Dashboarding & Reporting Daily Responsibilities 60% Hands On 10% Management Duties 30% Team Collaboration The Offer Competitive base salary + bonus Bonus eligible You will receive the following benefits: 100% covered Medical, Dental, and Vision Insurance Vacation Time Stock Options Applicants must be currently authorized to work in the US on a full-time basis now and in the future.