Data Analyst, Structured Data Services, APAC

About the Role

The Data Analyst supports the Structured Data Services Team Lead on active projects. This involves understanding client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting relevant data. The Data Analyst reports any difficulties and observed patterns to the Senior Data Analyst II or Team Lead. Meeting deadlines while maintaining high standards of accuracy and quality is crucial for this role.

Key Responsibilities

• Analyzes documents and extracts content based on project specifications using Excel and other file types.
• Collaborates closely with the Team Lead to receive the latest updates and instructions on projects.
• Develops relationships within the immediate team.
• Performs data cleansing or format extracted data using formulas, manual methods, or programming tools.
• Conducts audits on assigned projects.
• Follows established procedures and methods to solve problems.
• Identifies correlations, issues, and patterns through data mining.
• Provides data into comprehensible structures of organizing and transforming information.
• Identifies the timing and indicators of data access based on analysis.
• Is responsible for integrity in analysis and quality on projects.
• Manages multiple projects daily.
• Meets project targets consistently.
• Performs additional duties as assigned by manager.

Requirements & Tech Stack

• Basic understanding of document analysis, especially in data breach review.
• Knowledge in Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc.).
• Experience with Macro coding, preferred.
• Knowledge and/or experience with a common scripting or programming language, including Powery Query and Python will be an added advantage.
• Strong verbal and written communication skills.
• Experience working in a team environment.
• Flexible, adaptable, responsive, and positive.
• Data Analytical Certifications would be preferred.
• Basic understanding of ETL frameworks.

Qualifications

• High School and 10+ years related experience OR Associate's Degree in Computer Science, Mathematics, Information Management, or Statistics and 2-4 years of Data Analyst experience OR Bachelor's Degree and 0-1 years related experience.
• Bachelor’s degree preferred.
• Ability to work greater than 40 hours per week as needed.