Analytics Engineer

🔥 16 hours ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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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Quartile

WebsiteLinkedInAll Job Openings

201 - 500 employees

📣 Marketing

🛍️ eCommerce

Marketing • Advertising • eCommerce

Quartile is the world’s largest retail media optimization platform, offering advanced advertising solutions for e-commerce businesses. Using six patented machine learning technologies, Quartile automates and optimizes ads across various marketing channels, including Amazon, Google, and social media platforms. The company empowers over 5,300 brands and sellers worldwide, managing over $2 billion in annual ad spend. With a flat-rate fee structure and comprehensive campaign management capabilities, Quartile helps businesses achieve sales growth through strategic insights and cutting-edge AI-driven technology.

📋 Description

• Perform business and data analysis to support internal initiatives and external/client-driven requests • Investigate and analyze data issues and bugs, identify root causes, and work with appropriate teams to drive resolution • Proactively identify data quality issues, inconsistencies, and potential problems across data models and services • Ensure the quality, accuracy, and reliability of data services and deliverables through continuous validation and monitoring • Review and maintain clear, accurate, and up-to-date documentation for data models, business rules, metrics, processes, and services • Validate business rules, KPIs, and data transformations against business requirements and expected behavior • Contribute to data governance and standardization, including consistent definitions, structures, naming conventions, and data quality standards • Collaborate with the Data Modeling & Governance Team and cross-functional teams across the organization

🎯 Requirements

• Advanced SQL skills, including complex queries, CTEs, window functions, aggregations, joins, and data validation • Strong understanding of data modeling concepts, data structures, and data quality principles • Experience using Claude or similar AI tools to support data analysis, SQL development, documentation, and day-to-day workflows • Knowledge of Excel, including formulas, data analysis, lookups, pivot tables, and data validation • Basic knowledge of Databricks, including notebooks, tables, catalogs, and running SQL queries • Strong problem-solving skills to investigate data issues, identify root causes, and propose effective solutions • Strong analytical and critical-thinking skills to evaluate data, identify inconsistencies, and make well-supported conclusions • Strong attention to detail when working with data accuracy, consistency, and validation • Experience with e-commerce data and KPIs such as Sales, Revenue, Orders, Conversion Rate, ROAS, ACOS, TACOS, CPC, and other commerce and advertising metrics • Experience with data from e-commerce and advertising platforms such as Amazon, Walmart, Shopify, Google Ads, Meta, or similar platforms • Familiarity with data governance, data quality monitoring, documentation, and standardization practices • Experience working with large and complex datasets • Experience collaborating with Analytics, Engineering, Product, or other cross-functional teams

🏖️ Benefits

• Equal opportunity employer committed to diversity, inclusion, and belonging • PJ contract employment arrangement