Skill
Data Cleansing
Data Science, Analytics and AI/ML
Data cleansing (or data cleaning) is the process of detecting and correcting inaccurate, incomplete, duplicate, or inconsistent records within a dataset. Data analysts and engineers perform cleansing tasks such as removing duplicates, standardizing formats, and filling missing values to ensure data quality before analysis or reporting. It is a foundational step in any data pipeline, since flawed data can lead to misleading conclusions.
Open roles requiring Data Cleansing (1)
Demand/ Supply Chain Analyst
Defense Logistics Agency
Richmond, VA · $93,499 – $121,551
This federal role analyzes demand and supply chain data to support military weapons operations, using statistical tools and programming to identify trends, root causes, and performance forecasts. It suits analysts comfortable with data mining, visualization software, and presenting technical findings to senior military leadership.
Via USAJOBS · Apply there ↗
Roles that use Data Cleansing
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.