Sourcing Data – Systems Analyst

Worldwide Salaried Open

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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