What you will do
The candidate will work on cross- division projects related to data governance, data quality, cost management among others. They will work with data analysts, business analysts, data engineers, product owners and other stakeholders to streamline data infrastructure, improve data quality and the efficiency of data usage across the Company:
Building, developing, and maintaining automated dashboards to monitor business and technical metrics;
Establishing and monitoring policies to standardize data- related workflow and adhere to regulation.
Ad- hoc Reporting & Data Analysis duties or other responsibilities as required.
Designing, building supporting products of data quality to ensure data sources are reliable and relevant for the team’s purposes;
Analyzing complex data of technical platforms to drive insightful findings and translating them into meaningful, actionable recommendations for our stakeholders;
Collaborating with internal data team to consolidate requirements, understand needs, and deliver necessary tools;
Designing and implementing solutions and best- practices, with automation and scalability in mind, to empower end- users to become self- reliant;
What you will needMinimum Qualifications:
University degree with quantitative/statistics coursework such as Business, Economics, Marketing, or relevant fields.
University degree (BA, BSc, etc.) in a quantitative discipline such as Statistics, Computer Science, Mathematics, Information Management;
Key Skills/Experience Required
Critical:
Excellent problem- solving aptitude and logical thinking;
Effectively collaborate within a team as well as work independently.
Proficiency in writing complex SQL queries or programming languages Python;
Sense of ownership, a growth mindset, and the ability to recommend solutions which are scalable;
Strong spoken and written communication skills (in both English and Vietnamese);
Self- learner and quick to adopt new knowledge and technical skills;
Desirable:
Data Engineer or Machine Learning Engineer backgrounds are preferred.
Solid technical/functional knowledge in data systems (GCP, AWS, Azure);
Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.);
