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Sourcing Data & Systems Analyst

3 weeks ago
United States
Full-time
Mid Level
Business Analyst
Data Science and Analytics
Confluence HTML HTTP JavaScript JIRA Machine Learning Power BI Python 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

  • Analyze the coverage, completeness, and quality of digital construction data sources to identify gaps and prioritization opportunities.
  • Design and maintain SQL queries, Python notebooks, dashboards, and reporting frameworks that surface actionable trends and sourcing performance.
  • Investigate data anomalies and exceptions, identify root causes, and recommend corrective actions.
  • Research, assess, and onboard new digital data sources, including 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.
  • Partner with Product and Technology teams to align sourcing strategy and roadmap priorities.

Requirements

  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Engineering, or a related technical field.
  • 4+ years of experience in programming, data analysis, digital sourcing, data operations, or a related technical role.
  • Strong analytical and problem-solving skills with attention to detail.
  • Comfort working with incomplete or inconsistent data 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.
  • Understanding of machine learning inputs, data enrichment techniques, and third-party data integrations (preferred).
  • Understanding of HTML structure, HTTP behavior, and common web access patterns (preferred).
  • Data visualization tool experience such as AWS Quicksight, PowerBI, or Tableau (preferred).
  • Knowledge of the construction industry (preferred).
  • Familiarity with cloud-based data environments and Jira/Confluence (preferred).
  • Experience with web scraping tools, scripting languages such as Python or JavaScript, MDM platforms, web monitoring tools, or change detection tools (preferred).
  • Must be legally authorized to work in the United States without current or future sponsorship.
  • Full-time availability; remote candidates in the continental United States will be considered, with a preference for Central or Eastern Time Zone.

Benefits

  • Remote, home-office-based work arrangement.
  • Market-competitive salary.
  • Comprehensive benefits package.
  • Potential for an annual discretionary performance bonus for applicable roles.
  • Uncapped commission plans for applicable roles.
  • Minor travel requirements.
  • Reasonable accommodation support during the application process.

Interested in this position?

Apply directly on the company website

Apply Now

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