We are looking for a Data Analyst (DA) as a gatekeeper for an organization’s data so stakeholders can understand and use it to make strategic business decisions. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need an excellent eye for detail, experience as a data analyst, and a deep understanding of popular data analysis tools and databases. 
- Collaborate with business stakeholders to understand business challenges, and define the optimal analytical approach. 
- Communicating findings and recommendations and collaborating 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 critical business problems. 
- Gather requirements from different business units and translate that into actionable insights. 
- Ability to build and maintain automated analytics dashboards, metric reports, and data visualizations. 
- Communicate and present 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.

- Bachelor/Master/Ph.D’s degree in a related field (data analytics, statistics, mathematics, computer science). 
- Proficient with PHP/Python, or other programming languages. 
- At least 4 years of experience in data analysis. 
- Excellent analytical and organizational skills. 
- Problem-solving orientation. 
- Demonstrated ability to apply modern data exploration and visualization techniques to deliver actionable insights. 
- A can-do teammate who is willing to roll up their sleeves and do whatever is needed to deliver quality analysis. That means at times you will wear different hats and be a problem digger, data analyzer, auditor, report maker, and chief communicator of solutions. 
- Experience with key BI tools such as PowerBI or Tableau is a plus. 
- Knowledge of regression, decision trees, clustering and other basic modeling techniques is an asset. 
- Have the experience to build and optimize the performance of Data Warehouse on AWS Cloud and Data Models (ER, Dimension model and Data Vaults) for Data Analytics 
- Proficiency in SQL

- Probation period: 2 months with full of your official salary.
- Convenient work schedule: 5 days a week, 8 hours a day (9:00 AM 6:00 PM from Monday to Friday).
- 12 days of annual leave (any remaining annual leave days will be refunded at the end of the year) and 11 paid public holidays.
- Paid insurance according to regulations (Social insurance, health insurance, unemployment insurance).
- Exciting company culture & activities such as Happy Hours, Birthday Celebrations, Year-end Party, and more.
- Comprehensive benefits include time off for weddings, funerals, childbirth, International Women's Day, and more.
- Annual salary reviews and bonuses based on performance. Career Growth Opportunities.
- Career Prospect: Opportunities to transfer to another position or department depending on your prospective capabilities.
- Rotation Opportunities to US Headquarters: Top performers can rotate to our US headquarters for valuable experience and exposure.

1. Comprehensive well-being & benefits
2. Competitive compensation
3. Fast-growing environment & strong networking