Constructor.io

data analyst for e-commerce discovery

In short

This role builds data-driven SEO/GEO infrastructure for an e-commerce product discovery platform, tracking visibility, traffic sources, and performance for customers like Sephora and Petco. It requires strong SQL and Python skills, experience with APIs (OAuth2, GA4, Google Search Analytics), ETL/ELT on PySpark, and fluent English. The company is remote-first, offers unlimited vacation and stock options, and is looking for a senior-level analyst with at least 3 years of experience.

About
Constructor.io provides a product discovery platform as a service for e-commerce, including search and recommendations. Its platform serves customers such as Sephora, Petco, home24, and Birkenstock.
Responsibilities
•Improve the e-commerce experience for users worldwide by making product discovery faster and more personalized
•Build measurable foundations to track visibility, traffic sources, and performance across SEO and GEO
•Build architecture for technical checkups of customer websites, assess their optimisation level, and provide clear recommendations
•Partner with Product teams to adapt enriched content for SEO/GEO and package it for external discoverability
•Define an SEO/GEO enablement layer with tools, playbooks, and frameworks to scale best practices across teams and customers
•Improve visibility into product discovery from external sources
•Measure organic, branded, and AI-driven traffic accurately
•Create a unified model of landing pages
•Build a framework for future SEO experiments, including canonical tests, template variations, and structured data tests
•Develop internal tools that other teams can use
•Drive the adoption of best practices across teams
Requirements
•Strong SQL and Python skills, including requests, pandas, and NumPy
•Experience building data integrations between products
•Experience with APIs and authentication, including OAuth2, GA4, and Google Search Analytics API
•Understanding of ETL/ELT workflows on PySpark
•Ability to build data extraction logic for unstructured data, including referrers, canonical URLs, and page types
•Advanced or fluent English (C1/C2)
Nice to have
•Experience with BigQuery or similar
•JS execution basics and how SSR/CSR affects crawlers
•SEO fundamentals
•Experience with BI systems such as Looker/Metabase/Superset
•Experience with logs or event handling systems
Conditions
•Regular team offsite events
•Unlimited vacation; employees are encouraged to take at least 3 weeks per year
•Work-from-home stipend
•Apple laptops provided to new employees
•Annual training and development budget
•Maternity and paternity leave for qualified employees
•Stock options in addition to the base salary

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