Data Analyst
atAscend Group Co., Ltd.Responsibilities:
- Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis
- Retrieve, prepare, and process a rich data variety of data sources
- Apply data quality, cleaning and semantic inference techniques to maintain high data quality
- Gain fluency in our business domain expertise
- Explore data sources to better understand the availability and quality/integrity of data
Qualifications:
- Experience with relational database systems with expertise in SQL
- Experience in data management, data warehousing or unstructured data environments
- Experience with data integration or ETL management tools such as Talend, Informatica, Pentaho DI or similar
- Experience programming in Python, Java or other equivalent is a plus
- Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar
- Experience with Agile methodology and Extreme Programming is a plus
- Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment
- Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership
- Good communication in English
Experience required
- any or no experience
Salary
- Negotiable
Job function
- Analyst
Job type
- Full-time
Company overview
Ascend Corporation, a spin-off from True Corporation under C.P. Group, is driving digital innovation across Southeast Asia. We’re transforming everyday life with our range of tech-driven services—spanning e-commerce, digital payments, cloud solutions, and more. Our Key B ...
Why join us: Ascend Group isn’t just about digital innovation—we’re creating a vibrant space where you can truly thrive, right in the heart of Bangkok. Our Workspace • Central Location: Our headquarters spans two floors in t ...
Benefits
- Five-day work week
- Annual bonus
- Dental Insurance
- Employee discount
- Health Insurance
- Life Insurance
- Maternity leave
- Provident fund
- Social Security
