Data Analyst

Job Description

SUMMARY The Data Analyst role 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. ROLES & RESPONSIBILITIES Analyzes documents and extracts content based on project specifications using Excel and other file types Collaborate closely with the Team Lead to receive the latest updates and instructions on projects and develops relationships within 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 the correlation, issue and pattern through data mining Provides data into comprehensible structures of organizing and transforming information Identifies the timing and indicators of data access based on the analysis Responsible for integrity in analysis, quality on the projects Manages multiple projects daily Meets project targets consistently May perform other duties as assigned by management SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the 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 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 JOB REQUIREMENTS Bachelors Degree in Computer Science, Mathematics, Information Management, or Statistics and 0-1 years of Data Analyst experience or related experience. Ability to work greater than 40 hours per week as needed