Data Engineer | SEO & Marketing Analytics

About the role

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.

Responsibilities

• 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
• 60% Hands On
• 10% Management Duties
• 30% Team Collaboration

Qualifications

• 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

Benefits

• Competitive base salary + bonus
• Bonus eligible
• 100% covered Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options