Qualifications:
- Graduate of BS in Data Analytics, Computer Science, Statistics, Mathematics, or any relevant degree
- At least 3 to 5 years of working experience as a Data Analyst in the information technology sector
- Must be proficient in MS Excel (pivot tables and advanced formulas)
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Experience with machine learning techniques
- Knowledge of data warehousing and ETL (Extract, Transform, Load) processes
- Experience working in agile environments
- Strong critical thinking and problem-solving skills
- Excellent written and verbal communication skills
- Must be willing to work in a hybrid arrangement and in a night shift schedule
Responsibilities:
- Gather data from various sources, such as databases, spreadsheets, APIs, or web scraping, to obtain relevant datasets for analysis
- Cleanse and preprocess the data, ensuring data quality and accuracy
- Create reports and dashboards that present data analysis results
- Verify the accuracy and reliability of data analysis results
- Collaborate with stakeholders, data engineers & architects, and business users to understand data integration requirements and identify data sources
- Monitor and maintain existing ETL jobs to ensure data consistency
- Validate and verify the accuracy and completeness of integrated data