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Crypto.com
Hong Kong, Hong Kong SAR
Business Analyst, Data Operation and Management
Hong Kong, Hong Kong SAR
Engineering – Data Intelligence /
Full-time /
Hybrid
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As a Business Analyst in the Data Operation and Management team, you will play a crucial role in ensuring our data's accuracy, integrity, and availability. You will work closely with cross-functional teams to collect, analyze, and maintain data, enabling informed decision-making and driving business growth. You are also involved in designing and developing our data warehouse, which we offer to business users as a product using our big-data infrastructure. As business users rely on our data for decision-making and operations, you will have hands-on experience implementing algorithms to ensure data integrity.
Responsibilities
- Data Collection and Validation: Collaborate with various departments to gather and validate data from multiple sources. Ensure data accuracy and completeness by implementing validation checks and data quality standards.
- Data Maintenance and Cleanup: Regularly update and maintain databases to reflect the most current information. Identify and resolve data inconsistencies and errors.
- Data Integration: Work on data integration projects, including data mapping, transformation, and ETL processes. Collaborate with Tech teams to implement data integration solutions.
- Data Governance: Develop and enforce data governance policies and procedures. Maintain comprehensive documentation of data sources, processes, and data lineage.
Requirements
- Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics, Business or related field
- Experience in working with cross-functional teams to gather requirements and prioritize work
- 2+ years of experience with SQL
- 2+ years of experience in one of the following or related roles - Technical Project Management/ Data Analytics
- Experience in ETL and data warehousing
- Detail-oriented and good business sense
- Experience of FinTech startups or financial institutions is a plus
- Experience in data visualization tools, e.g. Tableau, is a plus
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