Description

You will ensure the accuracy, consistency, and reliability of enterprise data assets.

This role is on-site.

Responsibilities

• Perform data profiling to identify anomalies, inconsistencies, and gaps in data.
• Develop and implement data cleansing strategies to improve accuracy and usability.
• Collaborate with stakeholders to define and maintain data quality rules and standards.
• Support data governance initiatives by managing metadata, data lineage, and data dictionaries.
• Write complex SQL queries to extract, transform, and analyze data from various sources.

Required Skills

• 5+ years of professional experience in data analysis or quality.
• Proficiency in SQL for data extraction and analysis.
• Strong capability in Python for data manipulation and automation.
• Experience with Data Warehousing (DWH) and Database Management Systems (DBMS).
• Familiarity with data profiling, cleansing, and validation techniques.
• Experience with data reconciliation, integration testing, and regression testing.
• Knowledge of data governance principles.
• Experience with AWS, Azure, or GCP.

Preferred Skills

• Experience with any Gradute education level in a related field.

Key Skills

Education

Any Gradute