Senior Analytics Engineer

🕒 July 30

🇧🇷 Brazil – Remote

💵 $80k - $120k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Design and build data pipelines and data models that power analytics and reporting • Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy • Define and validate business metrics together with stakeholders, not just implement them • Ensure data quality, consistency, and performance across systems processing billions of events • Partner with analysts, engineers, and product managers to translate business needs into well-designed data solutions • Work with SQL, Python, and distributed data systems at very large scale

🎯 Requirements

• Strong experience building data pipelines, data models, and analytics tooling • Expert-level SQL and experience working with large-scale datasets and distributed data systems • Experience with Python for data work and tooling • Experience with modern analytics stacks (e.g. dbt, Airflow, or similar modeling and orchestration tools) • Experience defining and validating business metrics and understanding why they matter • Understanding of product funnels and ecommerce metrics (revenue, conversion, engagement) • Ability to translate stakeholder needs into data models, dashboards, and tools • Ability to communicate clearly with both technical and business stakeholders • Comfortable owning an analytics area end to end in a fast-paced environment • Experience building customer-facing or embedded analytics • Experience working in e-commerce

🏖️ 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