Purpose of the job
Assure Enterprise data reliability, integrity, and availability for business reporting by defining and applying proper data quality measures across all relevant data objects , flows, systems and repositories and by taking proper preventive and reactive actions to ensure data quality related KPIs are met.
Duties and responsibilities
- Develop and implement data collection systems and other strategies and processes that optimize statistical efficiency and data quality
- Identify, analyze, and interpret trends or patterns in complex data sets which could indicate possible quality problems/issues and advise on possible resolutions.
- Filter and clean data, and review regularly produced reports, and performance indicators to locate and correct code problems
- Identify, document, and maintain all Data Flows from sources to DWH, and ensure proper quality checks and alarms are in place and are being regularly monitored.
- Continuously work with sources owners and operational teams in enhancing the data loading , integrity, and completeness objectives.
- Responsible for Data quality KPIs ( data reliability , integrity, availability ).
Job specification
Education
Bachelor Degree in engineering or computer science
Experience
- 0 2 years of experience
- Data warehousing and data quality assurance in IT or telecom is a plus
Skills and Abilities
- Fluent English and Arabic is a must.
- Ability to work in a fast-paced, dynamic environment, handling multiple concurrent
- Detail-oriented and process oriented.
- Flexibility in dealing with people with diverse working styles.