Sourcing Data – Systems Analyst

🕒 Maio 26

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

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

• Analyze the coverage, completeness, and quality of Dodge’s digital construction data sources to identify gaps and prioritization opportunities • Design and maintain sharable SQL queries or python notebooks, dashboards, and reporting frameworks that surface actionable trends and sourcing performance • Investigate data anomalies and exceptions to identify root causes and recommend corrective actions • Research, assess, and onboard new digital data sources which could include APIs, web monitoring tools, scraping workflows, and third-party data feeds. • Evaluate data acquisition methods for feasibility, cost, coverage, and quality • Support and document scalable workflows for data acquisition and exception handling • Develop and maintain SOPs for source collection and research. • Support UAT and QA testing for new technical releases and system changes • Partner with offshore teams to coordinate task execution, provide guidance, and QA outputs • Perform web research and validate web sources for usefulness and reliability • Identify and resolve detection errors, including broken links, redirects, HTTP errors, session timeouts, and access restrictions • Partner with Product and Technology teams to align sourcing strategy and roadmap priorities

🎯 Requisitos

• 4+ years of experience in programming, data analysis, digital sourcing, data operations, or related technical roles • Strong analytical and problem-solving skills with attention to detail • Comfortable working with incomplete or inconsistent data and can drive process in evolving problem spaces • Experience following and contributing to SOPs, quality frameworks, or operational workflows • Experience with Python, SQL, and/or other programming languages • Ability to identify patterns in data and translate findings into clear, actionable recommendations • Strong written and verbal communication skills • Experience working in cross-functional or distributed team environments, including coordination with offshore or vendor teams