Data Analyst (SEO)

TL;DR

Data Analyst (SEO): Improving the e-commerce experience by bridging the gap between onsite product discovery and external discovery platforms with an accent on tracking visibility, traffic sources, and performance across SEO and GEO. Focus on building architecture for technical checkups, creating a unified model of landing pages, and developing frameworks for SEO experiments.

Location: Fully remote (Worldwide). Mention of Barcelona (Spain) and Lisbon (Portugal) as potential hubs.

Salary: $7,500 – $10,000 per month net

Company

An AI-powered e-commerce search and discovery platform focused on enhancing product discoverability via internal and external search engines.

What you will do

• Improve e-commerce discovery by bridging the gap between onsite and external search platforms.
• Build measurable foundations to track visibility and performance across SEO and GEO.
• Develop the architecture for technical checkups of customer websites to provide optimization recommendations.
• Collaborate with Product teams to adapt enriched content for external discoverability needs.
• Define an SEO/GEO enablement layer featuring tools, playbooks, and frameworks to scale best practices.

Requirements

• Strong proficiency in SQL and Python (requests, pandas, NumPy).
• Experience building data integrations between products.
• Experience with APIs and authentication (OAuth2, GA4, and Google Search Analytics API).
• Knowledge of ETL/ELT workflows using PySpark.
• Ability to build logic for data extraction from non-structured data such as referrers and canonical URLs.

Nice to have

• Experience with BigQuery or similar data warehouses.
• Basic knowledge of JS execution (SSR/CSR) and how it affects crawlers.
• Knowledge of SEO fundamentals.
• Experience with BI systems like Looker, Metabase, or Superset.
• Experience with logs or event handling systems.

Culture & Benefits

• Fully remote work environment with a dedicated home office stipend.
• Unlimited vacation time, with a strong encouragement to take at least 3 weeks per year.
• Annual training and development budget for every employee.
• Provision of Apple laptops for new hires.
• Stock options and comprehensive maternity and paternity leave.