Data Analyst – Offsite Search Optimisation

This is a fully remote position, open to applicants in Spain.

📋 Description

• Enhance the e-commerce experience for millions of users globally by making it quicker and more tailored to their needs.

• Establish measurable foundations to monitor visibility, traffic sources, and performance across SEO and GEO domains.

• Develop the architecture to conduct technical assessments on customer websites, evaluate their optimization status, and offer clear guidance on necessary improvements.

• Collaborate with Product teams to adapt enriched content for SEO/GEO and package it to meet external discoverability requirements.

• Create an SEO/GEO enablement layer, including tools, playbooks, and frameworks to implement best practices across teams and clientele.

⛳️ Requirements

• Proficient in SQL and Python (including libraries such as requests, pandas, numpy, etc.).

• Experience in developing data integrations between various products.

• Familiarity with APIs and authentication methods (OAuth2, GA4, and Google Search Analytics API).

• Knowledge of ETL/ELT workflows utilizing PySpark.

• Capability to construct logic for data extraction from unstructured data (such as referrers, canonical URLs, and page types).

🏝️ Benefits

• 🧠 Collaborate with intelligent and compassionate colleagues who will support your growth and enable you to make a significant impact.

• 🎉 Participate in regular team offsite events to foster connection and collaboration.

• 🌎 Enjoy the flexibility of a fully remote team - you decide where you want to live.

• 🏝️ Benefit from unlimited vacation time - we strongly encourage all employees to take at least 3 weeks off each year.

• 🛋️ Receive a work-from-home stipend! We want to ensure you have the necessary resources to establish your home office.

• 💻 New employees will be provided with Apple laptops.

• 🧑‍🎓 Access a training and development budget for every employee, refreshed annually.

• 👪 Maternity and paternity leave available for eligible employees.

• 💵 Base salary ranging from $80k–$110K USD, based on knowledge, skills, experience, and interview performance.

• 📈 Stock options offered in addition to the base salary.