Data Analyst – Offsite Search Optimisation

🕒 July 28

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Constructor

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🛍️ eCommerce

💰 $25M Series B - Constructor on 2024-06

SaaS • Artificial Intelligence • eCommerce

Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features — search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery — to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.

📋 Description

• Improve the e-commerce experience for hundreds of millions of users across the world by making it faster and more personalized. • 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.

🎯 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)

🏖️ 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–$110K USD, depending on knowledge, skills, experience, and interview results. • 📈 Stock options - offered in addition to the base salary.