Data Lead

3 weeks ago

Ho Chi Minh City, Vietnam Diag Full time

**About Diag
DIAG is a modern, technology-driven diagnostic laboratory. We are fast growing business providing high quality diagnostic services to millions of patients. We proved ourselves as a trusted partner for healthcare organisations and independent professionals, offering an extensive range of laboratory tests used
** to assist in the diagnosis, monitoring, and treatment of diseases and medical conditions**.

We are building the most tech and talent advanced laboratory in Vietnam and put technology in the core of our business building an ecosystem of lab and healthtech products aimed to provide better service and better care for our customers and partners through excellent user-centered digital experiences.

At the Diag Company, we are looking for your talent to strengthen and grow our community of apps and platforms experts. Joining us is joining a company that resembles you, building itself as you express your talents, your passion, and communicate your ideas.

To be perfectly sure, here is all the information you need

**About the team**

The Data Team is Responsible for data analysis of operation strategy including sales team Strategy, Doctor adoption Strategy, Business performance, and reporting

**Responsibilities**
- Responsible for data analysis of operation strategy including Sales Team Strategy, Doctor Adoption Strategy, Business performance, and reporting;
- Lead the data analysis for our Vietnamese market going forward, able to coach and grow the team;
- Design the monitoring systems independently to reflect any changes of business in time;
- Cooperate with the Ops team to set strategy, e.g. finding potential doctors and clinics, measuring LTV of clients, figuring out the growth strategy of merchants, etc.;
- Follow up the data analysis of business teams, support the operation effect and give the follow-up optimization suggestions;
- Describe the situation of business, explain the fluctuations of business and provide valuable suggestions with reports;
- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business;
- Cooperate with R&D and Data PM to build data systems and user-friendly data products to support business.

**Qualifications**:

- Master degree or above, major in mathematics, statistics, computer science is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation;
- At least 7 years of working experience in data science track, and have a good business sense in e-commerce;
- At least 2 years of people management experience required;
- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling;
- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice
- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;
- Global working experience or analytical experience is preferred;
- Written and verbal English skills are required for daily communications with global teams;
- Have a strong learning ability and curiosity; Quickly familiar with and starting a new business; Can lead a small project team to support business;
- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

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