Sourcing Data & Systems Analyst

Core Responsibilities

• 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

Education Requirement

Bachelor's degree in Information Systems, Data Analytics, Computer Science, Engineering, or related technical fields.

Required Experience, Knowledge, And Skills

• 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
• 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

Preferred Experience, Knowledge, And Skills

• Understanding of machine learning inputs, data enrichment techniques, and third-party data integrations
• Knowledge of the construction industry
• Familiarity with cloud-based data environments
• Familiarity with Jira/Confluence
• Experience with web scraping tools or scripting languages (python, JavaScript, or similar)
• Experience with MDM platforms, data enrichment techniques, or third-party data integrations
• Experience with web monitoring or change detection tools