Check with seller Việc làm tuyển gấp Data Analyst

Mô tả công việc Data analysts will develop analysis and reporting capabilities and also monitor performance and quality control plans to identify improvements. A successful data analyst needs to have a combination of technical, consultant, communication as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management, or Economics can serve as a solid foundation to build your career as a data analyst. Typical duties include: - Using automated tools to extract data from primary and secondary sources - Filter Data by reviewing reports and performance indicators to identify and correct code problems - Preparing reports for the management stating trends, patterns, and predictions using relevant data - Removing corrupted data and fixing coding errors and related problems - Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction - Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. Quyền lợi được hưởng - Young, dynamic start-up environment with knowledgeable and experienced leaders - Create impactful technology products to bring value to society, especially to those who are underserved. - Work with tech-giant partners in Vietnam and the region: Vietjet, Savico, Facebook, Google… and have access to the world's leading investment funds. - Hone your skills through the new challenges, have your say in contribution towards the common goals. - Have opportunities to become a co-founding member with an attractive ESOP policy. - Competitive remuneration package. - Cool office, work time & location flexibility, other perks include snacks, coffee, and healthy food provided daily... Yêu cầu kỹ năng - 2 years working as Data Analyst or BI position. - Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation. - Experience in handling reporting packages like Business Objects, programming (ETL frameworks), databases. - Knowledge of programming languages like SQL Baisc, Postgres, BigQuery, and Python. - Strong mathematical skills to help collect, measure, organize and analyze data. - Problem-solving, teamwork, verbal, and written communication skills

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