Sourcing Data & Systems Analyst
D
Dodge Construction NetworkConstruction Data
Candidates located in the continental United States will be considered, preference to hire in the Central and Eastern Time ZoneFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonSQLData AnalysisRESTful APIsQuality AssuranceData visualization
Requirements
- Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Engineering, or related technical fields
- 4+ years of experience in programming, data analysis, digital sourcing, data operations, or related technical roles
- Strong analytical and problem-solving skills
- Experience following and contributing to SOPs, quality frameworks, or operational workflows
- Experience with Python
- Experience with SQL
- Strong written and verbal communication skills
- Experience working in cross-functional or distributed team environments
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
- Investigate data anomalies and exceptions to identify root causes
- Research, assess, and onboard new digital data sources including APIs and web monitoring tools
- 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
- Partner with offshore teams to coordinate task execution
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