Data Analyst FPT Software

- Collaborate with business stakeholders to understand business challenges, define optimal analytical approach. - Communicating findings and recommendations and collaborate with other partners. Work with a variety of data sources - extracting knowledge and actionable information from massive datasets. - Analyze broad data sets and provide actionable insights to solve the critical business problems (Customer Segmentation, Cross-sell/Up-sell, Customer Churn Prediction, etc.). - Gather requirements from different business units and translate that to actionable insights. - Ability to build and maintain automated analytics dashboards, metric reports, and data visualizations. - Communicate and present on technical information with non-technical team members and stakeholders. - Strong ability to troubleshoot and resolve data issues. - Support the business with ad hoc reporting. - Collaborate with engineering and product development teams. - Provide technical sharing/training to team members

You’ll love working in our dynamic environment with >15.000 young & active employees, Honor & Award for the best employees who have great contribution to the company’s success, especially the awards night for 50 best employees each year will be held overseas. Unique culture with many exciting activities: rookie training, 72 hours experience, team building, status quo, village festival ... Being trained by professionals, having many promoting opportunities to become managers in the leading technology groups in Vietnam, with more than 30,000 people and a professional environment. Obtaining full legal insurance coverage for yourself and your family with FPT-Care.

- Bachelor’s degree or the equivalent experience in statistics, finance, economics or a related field. - Ability to apply statistical techniques and principles to solve or provide direction to a business problems. - Analytical mind and business acumen. - Experience designing reports and dashboards as Power BI, or equivalent BI product. - Experience with common data science toolkits, such as Python, or R, etc. - High-level experience in methodologies and processes for managing large scale databases. - Experience working with databases such as PostgreSQL, MySQL, or equivalent. - Excellent communication skills including written, verbal and presentation