# Data Cleansing

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/data-cleansing

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.

Related skills: [ETL](https://career.thegoodapps.co/skills/etl), [Data Validation](https://career.thegoodapps.co/skills/data-validation), [Data Wrangling](https://career.thegoodapps.co/skills/data-wrangling), [Data Quality Management](https://career.thegoodapps.co/skills/data-quality-management), [Data Quality](https://career.thegoodapps.co/skills/data-quality), [Data Maintenance](https://career.thegoodapps.co/skills/data-maintenance), [Data Imputation](https://career.thegoodapps.co/skills/data-imputation), [Data Compilation](https://career.thegoodapps.co/skills/data-compilation)

## Open roles requiring Data Cleansing (1)

- [SAP Lead Associate Manager](https://career.thegoodapps.co/jobs/425005c2-15e7-4439-8802-fa14e2405d87/sap-lead-associate-manager-at-dxc-technology) at [DXC Technology](https://career.thegoodapps.co/organizations/dxc-technology) — Alpharetta, GA