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Data Quality Analyst

5 days, 16 hours ago
United States
Full-time
Mid Level
QA Engineer
Data Science and Analytics
Confluence JIRA Machine Learning Power BI Python Salesforce SQL Tableau
Apply Now
Dodge Construction Network

Dodge Construction Network

Dodge Construction Network combines five trusted brands to provide timely and accurate construction information, empowering businesses to find new jobs, make bids, and optimize sales strategies for growth.

Construction & Engineering
251-1K
Founded 2021
View All Jobs 11

Description

  • Investigate and resolve company and contact data conflicts, duplicates, and exceptions across the master data ecosystem.
  • Analyze data quality trends to identify root causes and recommend corrective actions and 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 quality-check outputs.
  • Build and maintain reports and dashboards that track 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 that require human review.
  • Respond to internal and client-facing inquiries about company and contact data accuracy and provide resolution findings.
  • Partner with Engineering, Product, and Sourcing to execute CEM roadmap priorities.
  • Lead QA and UAT testing for technical releases and document patterns that inform automation initiatives.

Requirements

  • Bachelor’s degree in a related field or equivalent education and work experience.
  • 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.
  • Understanding of machine learning inputs, data enrichment techniques, and third-party data integrations (preferred).
  • Experience with automation tools, data pipelines, and scalable product hierarchies or taxonomy frameworks (preferred).
  • Data visualization experience with AWS Quicksight, Power BI, or Tableau (preferred).
  • Knowledge of the construction industry or content workflows (preferred).
  • Experience with Salesforce (preferred).
  • Familiarity with cloud-based data environments and Jira/Confluence (preferred).
  • Must be legally authorized to work in the United States without current or future sponsorship.
  • Candidates must be located in the continental United States; Central or Eastern Time Zone preferred.

Benefits

  • Remote, home-office-based role.
  • Full-time position.
  • Market-competitive salary.
  • Comprehensive benefits package.
  • Annual discretionary performance bonus for applicable roles.
  • Uncapped commission plans for applicable roles.
  • Minor travel requirements.

Interested in this position?

Apply directly on the company website

Apply Now

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