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Data Quality Analyst
1 week ago
We are seeking a skilled data professional to manage and lead data projects, ensuring high-quality data and efficient data processes.
Responsibilities- Develop and implement data strategies to improve data quality and reduce data inconsistencies.
- Collaborate with IT to design and implement ETL processes for improved data ingestion and automation.
- Design master data management roadmaps and develop scripts for automation of standard and periodic reports.
- Ensure data quality and integrity by implementing robust data validation and cleansing processes.
- Work with technical teams to continuously improve, refine, and expand datasets to enhance quality and effectiveness of processes.
- A recognised degree in Computer Science, Data Science, Mathematics, Statistics or other related disciplines with minimum 8 years of working experience in Data Infrastructure and/or Next Gen technologies.
- Proficient in various data programming languages (e.g., SAS, Python, SQL) as well as hands-on experience and knowledge in ETL processes.
- Possess strong knowledge in Cloud technology and the Apache Hadoop ecosystem as well as big data querying tools such as Apache Hive and Apache Impala.
- Adept in handling and understanding large datasets and relational databases in upstream and downstream processes.
- Able to write clear and concise business requirements.
- Possess experience in script automations, data modelling, algorithm and data transformation techniques.
- Exposure in data visualisation tools (e.g., Tableau, Power BI etc.) as well as knowledge in data science, artificial intelligence, and machine learning would be an added advantage.