Data Quality Analyst

🕒 Junho 17

🏄 California, Florida, +7 estados a mais – Remoto

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧐 Analista

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Dodge Construction Network

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1891

🤝 B2B

☁️ SaaS

🏪 Marketplace

B2B • SaaS • Marketplace

A Dodge Construction Network é uma fornecedora de inteligência de mercado de construção e ferramentas de conexão digital que ajudam empreiteiros, arquitetos, engenheiros, fabricantes e fornecedores a encontrar projetos, gerenciar propostas e se conectar com tomadores de decisão. A empresa oferece um diretório pesquisável de projetos, planos, especificações, dados de produtos/fabricantes e objetos BIM, leads de RFP/RFQ verificados, previsão e análises, além de serviços de consultoria através de plataformas SaaS e soluções baseadas em dados para apoiar o crescimento dos negócios nos mercados de construção comercial e residencial.

Descrição

• Investigate and resolve company and contact data conflicts, duplicates, and exceptions across Dodge’s master data ecosystem • Analyze data quality trends to identify root causes and recommend corrective actions or process improvements • Execute and maintain SOPs for entity creation, updates, merges, and conflict resolution workflows • Partner with offshore teams to coordinate task execution, provide guidance, and QA outputs • Build and maintain reports and dashboards tracking data quality KPIs and team performance metrics • Own and maintain data standards, classification rules, and taxonomy definitions • Evaluate automation outputs and flag gaps or anomalies requiring human review • Respond to internal and client-facing inquiries regarding company and contact data accuracy, providing investigation findings and resolution • Partner with Engineering, Product, and Sourcing to execute CEM roadmap priorities

🎯 Requisitos

• 3+ years of experience in data operations, master data management, digital operations, or business transformation • Experience with SQL and/or Python programming • Strong analytical and problem-solving skills with attention to detail • Experience following and contributing to SOPs, quality frameworks, or operational workflows • Ability to identify patterns in data and translate findings into clear, actionable recommendations • Experience working in cross-functional or distributed team environments, including coordination with offshore or vendor teams • Familiarity with data governance concepts and quality assurance practices • Ability to adapt to evolving processes and contribute to workflow improvements. • Strong written and verbal communication skills