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Sourcing Data – Systems Analyst

Remote, USA Full-time Posted 2026-06-13

Job Description:

  • 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

Requirements:

  • 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

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