Data Quality Analyst

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🔥 0 minutes ago

🏄 California, Florida, +7 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

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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

• Investigate and resolve company and contact data conflicts, duplicates, and exceptions across Dodge’s master data ecosystem • Analyze data quality trends to identify root causes and recommend corrective actions or process improvements • Execute and maintain SOPs for entity creation, updates, merges, and conflict resolution workflows • Partner with offshore teams to coordinate task execution, provide guidance, and QA outputs • Build and maintain reports and dashboards tracking data quality KPIs and team performance metrics • Own and maintain data standards, classification rules, and taxonomy definitions • Evaluate automation outputs and flag gaps or anomalies requiring human review • Respond to internal and client-facing inquiries regarding company and contact data accuracy, providing investigation findings and resolution • Partner with Engineering, Product, and Sourcing to execute CEM roadmap priorities

🎯 Requirements

• 3+ years of experience in data operations, master data management, digital operations, or business transformation • Experience with SQL and/or Python programming • Strong analytical and problem-solving skills with attention to detail • Experience following and contributing to SOPs, quality frameworks, or operational workflows • Ability to identify patterns in data and translate findings into clear, actionable recommendations • Experience working in cross-functional or distributed team environments, including coordination with offshore or vendor teams • Familiarity with data governance concepts and quality assurance practices • Ability to adapt to evolving processes and contribute to workflow improvements. • Strong written and verbal communication skills