Portfolio Data Analyst

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This job is for a Portfolio Data Analyst in Kuala Lumpur. You will analyze data, collaborate with teams, and identify trends. You might like this job because it offers opportunities to work with data strategies, statistical tools, and data quality standards.

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Kuala Lumpur - Wilayah Persekutuan Kuala Lumpur - Malaysia, Kuala Lumpur

Job Description

Portfolio Data Analyst
Job ID
195709
Posted
20-Dec-2024
Role type
Full-time
Areas of Interest
Data & Analytics, Research, Transaction Management
Location(s)
Kuala Lumpur - Wilayah Persekutuan Kuala Lumpur - Malaysia
  • Analyze and validate data for accuracy, consistency, and integrity.
  • Develop and implement data quality standards and processes.
  • Generate data reports and presentations.
  • Collaborate with IT and data management teams to design and implement data strategies and models.
  • Use statistical tools and software to interpret and analyze data.
  • Monitor and update data dictionaries and metadata to ensure data consistency.
  • Provide technical support to team members facing data-related issues.
  • Recommend ways to improve data reliability, efficiency, and quality.
  • Conduct data cleaning to remove old, unused, or duplicate data.
  • Perform quality assurance tests to ensure data integrity and accuracy.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Work with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficiency in data analysis tools and software (e.g., SQL, Excel, Python).
  • Excellent communication and presentation skills.
  • Ability to work collaboratively with cross-functional teams.
  • Knowledge of data quality management practices and standards.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with data governance and compliance regulations.
  • Strong problem-solving skills and a proactive approach to identifying and resolving data issues.


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