Sourcing Data – Systems Analyst

🕒 May 26

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Dodge Construction Network

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1891

🤝 B2B

☁️ SaaS

🏪 Marketplace

B2B • SaaS • Marketplace

Dodge Construction Network is a provider of construction market intelligence and digital connection tools that help contractors, architects, engineers, manufacturers and suppliers find projects, manage bids, and connect with decision-makers. The company delivers a searchable directory of projects, plans, specs, product/manufacturer data and BIM objects, verified RFP/RFQ leads, forecasting and analytics, and consulting services through SaaS platforms and data-driven solutions to support business growth across commercial and residential construction markets.

📋 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