
201 - 500 employees
đŁ Marketing
đïž eCommerce
Marketing âą Advertising âą eCommerce
Quartile is the worldâs 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.
đ„ 15 hours ago
đ§đ· Brazil â Remote
âł Contract/Temporary
đą Junior
đĄ Mid-level
đ”ïž Threat Intelligence Specialist
đ«đšâđ No degree required
đ» Ghost score 10%
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201 - 500 employees
đŁ Marketing
đïž eCommerce
Marketing âą Advertising âą eCommerce
Quartile is the worldâs 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.
âą Execute client-specific market and competitive analyses across Amazon and other marketplaces âą Extract, clean, organize, and connect data from multiple sources and tools âą Translate complex findings into concise narratives, business implications, and concrete client actions âą Run recurring category, market share, sponsorship, pricing, search, and competitive tracking for priority accounts âą Identify meaningful changes and flag actionable findings âą Determine appropriate analytical approaches and develop new analysis types when existing frameworks are insufficient âą Build and maintain reusable templates, trackers, playbooks, and analytical frameworks âą Improve workflows, automation, consistency, and scalability across Market Intelligence âą Support Client Success teams with market and competitive intelligence questions âą Contribute to enablement materials and training âą Participate in client conversations when analytical expertise is needed âą Document successful analytical approaches and convert them into reusable frameworks
âą 2+ years of experience in marketing analytics, market intelligence, business intelligence, or performance analysis, ideally within eCommerce, marketplaces, retail media, or an agency environment âą Strong understanding of digital advertising and commerce metrics, including ACoS, ROAS, CPC, CVR, sales, market share, and related performance dynamics âą Strong analytical reasoning and ability to connect data findings to business implications and recommendations âą Experience working with multiple datasets and reconciling information from different sources to answer a business question âą Strong proficiency with Excel or Google Sheets âą Experience building clear, client-ready presentations in PowerPoint or Google Slides âą Strong data visualization and storytelling skills, with the ability to communicate complex findings to technical and non-technical audiences âą High attention to detail and commitment to analytical accuracy and reproducibility âą Ability to manage multiple analyses and changing priorities in a fast-paced environment âą Comfortable working cross-functionally with Client Success, domain experts, and other analysts âą Proactive and intellectually curious; comfortable questioning an initial read and proposing a different analytical approach when the existing playbook does not fully answer the question âą Hands-on experience with Amazon marketplace or advertising data is nice to have âą Experience with SmartScout, Analytic Index, Similarweb, SEMrush, Stackline, or comparable tools is nice to have âą Experience analyzing Walmart or other major eCommerce marketplaces is nice to have âą Experience building repeatable analytical frameworks, templates, or automated workflows is nice to have
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