Full-Time

Analytics Engineer: Offsite Search Optimisation at Constructor

Company Constructor
Location Remote / Not Specified
How You'll Work Remote
Level Mid
Sector Technology
Posted Posted 2 days ago

Job Description

About Us

Constructor is a search and discovery platform for ecommerce, built to optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house using transformers and generative LLMs.

Role Details

As an Analytics Engineer on the Offsite Search Optimization team, you will improve the e-commerce experience for hundreds of millions of users across the world by making it faster and more personalized. The team's mission is to bridge the gap between onsite product discovery and external discovery platforms, ensuring that Constructor-powered websites can be found, understood, and correctly represented by both Google and Generative engines.

Responsibilities

  • Build measurable foundations to track visibility, traffic sources, and performance across SEO and GEO.
  • Build the architecture to run technical checkups on customer websites, assess their optimisation level, and provide clear recommendations on what needs to be fixed.
  • Partner with Product teams to adapt enriched content for SEO/GEO and package it toward external discoverability needs.
  • Define an SEO/GEO enablement layer with tools, playbooks, and frameworks to scale best practices across teams and customers.

Challenges You Will Tackle

  • Complete visibility of the product discovery from external sources.
  • Accurate measurement of organic, branded, AI-driven traffic.
  • Create a unified model of landing pages.
  • A framework for future SEO experiments (canonical tests, template variations, structured data tests).
  • Internal tools that other teams can plug into.
  • Run the adoption process of best practices to other teams

Requirements

  • Strong SQL and Python (requests, pandas, numpy, etc).
  • Experience building data integrations between products.
  • Experience with APIs & auth (OAuth2, GA4 and Google Search Analytics API).
  • Understanding of ETL/ELT workflows on PySpark.
  • Building logic of data extraction from non-structured data (referrers, canonical URLs, page types).

Nice to Have

  • Experience with BigQuery or similar.
  • JS execution basics (how SSR/CSR affects crawlers).
  • Knowledge of SEO fundamentals.
  • Experience with BI systems (Looker/Metabase/Superset).
  • Experience with logs or event handling systems

Benefits

  • Work with smart and empathetic people who will help you grow and make a meaningful impact.
  • Regular team offsite events to connect and collaborate.
  • Fully remote team – choose where you live.
  • Unlimited vacation time – we strongly encourage all of our employees take at least 3 weeks per year.
  • Work from home stipend! We want you to have the resources you need to set up your home office.
  • Apple laptops provided for new employees.
  • Training and development budget for every employee, refreshed each year.
  • Maternity & Paternity leave for qualified employees.
  • Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.
  • Stock options – offered in addition to the base salary

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Skills & Requirements

SQL Python requests pandas numpy APIs & auth OAuth2 GA4 Google Search Analytics API ETL/ELT workflows on PySpark data extraction from non-structured data BigQuery JS execution basics SEO fundamentals BI systems logs or event handling systems

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